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Demo UniversityAcademic Calendar 2026–27
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Course Catalog

Descriptions and learning outcomes for courses offered at Demo University, grouped by academic level.

Earlier editions

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Undergraduate courses70 courses

ANT 1100

Introduction to Cultural Anthropology

3 credits · 3 lecture per week · On campus

Introduces the discipline of cultural anthropology and its distinctive approach to understanding human diversity. Students examine culture, language, kinship, economic life, political organization, religion, gender, race and ethnicity through ethnographic case studies drawn from around the world. The course emphasizes cultural relativism, the ethics of fieldwork, and the critical analysis of colonialism, globalization and migration. Students practise participant observation and ethnographic writing, and learn to connect everyday experiences in their own communities to broader social and historical forces. The course provides a foundation for further study in the social sciences and for work in intercultural settings.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the central concepts of cultural anthropology, including culture, cultural relativism, ethnocentrism and holism, using ethnographic examples.
  2. Compare how kinship, economic exchange, political organization and religion are structured across different societies.
  3. Conduct a short participant-observation exercise and record field notes that separate description from interpretation.
  4. Analyze the effects of colonialism, globalization and migration on cultural identities and inequalities.
  5. Write clear, evidence-based ethnographic analyses that apply ethical principles of respect, consent and reciprocity.
ART 1200

Survey of Art History

3 credits · 3 lecture per week · On campus, Online

Surveys the history of visual art from prehistoric times to the present, emphasizing the cultural, religious, political and technological contexts in which works were made. Students study major monuments and movements in painting, sculpture and architecture from Europe, Asia, Africa and the Americas, and learn the formal vocabulary used to describe them. Through museum-style analysis, comparison and written commentary, students develop visual literacy and an appreciation of how art reflects and shapes society. Topics include ancient and classical traditions, medieval and Renaissance art, global encounters, modernism, and contemporary practice.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Identify major artists, works, styles and movements in the history of art across world regions and periods.
  2. Analyze works of art using formal vocabulary, iconography and historical context to explain their meaning and significance.
  3. Compare art traditions from different cultures to explain patterns of influence, exchange and difference.
  4. Write clear visual analyses and short research essays that use images and sources appropriately.
  5. Discuss ethical and cultural issues in collecting, displaying and interpreting art, and reflect on the role of art in community life.
ART 4900

Arts Capstone Seminar

3 credits · 3 lecture per week · On campus

This capstone seminar integrates learning from the Bachelor of Arts. Each student designs and completes an independent project in their major that poses a significant question, draws on appropriate methods and sources, and results in a substantial paper or creative-critical work. Seminar sessions address project management, ethical research, quantitative and qualitative evidence, scholarly communication and peer critique. Students present their work publicly and reflect on their intellectual growth and plans for careers or graduate study, demonstrating readiness for professional and civic life.

Prerequisites
ENG 1100 with a minimum grade of C-, and STA 2100 with a minimum grade of C- (and at least 90 credits).

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Formulate a significant, original research or creative-critical question grounded in disciplinary debates and the existing literature.
  2. Design and carry out an inquiry using appropriate qualitative and quantitative methods and sources, interpreting evidence responsibly.
  3. Evaluate competing arguments and perspectives critically and situate project findings within broader scholarly and social contexts.
  4. Analyze ethical, cultural and social dimensions of the project and apply principles of equity, integrity and global citizenship.
  5. Communicate the project effectively in a polished paper and public presentation and reflect on professional and lifelong learning goals.
AST 1100

Introduction to Astronomy

3 credits · 3 lecture per week · On campus, Online

Surveys the nature and scale of the universe, from the Sun and planets to stars, galaxies and cosmology. Students learn how astronomers use light, telescopes and physical laws to measure distances, temperatures and ages. Topics include the solar system, the life cycle of stars, black holes, galaxies, the expanding universe, and the search for life beyond Earth. Observing sessions, simulations and public data archives give students practice in scientific reasoning, while discussion addresses the history and cultural dimensions of astronomy.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the structure, scale and contents of the solar system, galaxies and the observable universe using accurate astronomical terminology.
  2. Explain how stars form, shine and evolve, and how their properties are inferred from light.
  3. Use scientific notation, proportional reasoning and simple formulas to solve problems of astronomical scale, brightness and distance.
  4. Evaluate evidence for the Big Bang, dark matter and the expansion of the universe, distinguishing observations from interpretation.
  5. Discuss historical, cultural and ethical dimensions of astronomy, including Indigenous sky knowledge, light pollution and the search for extraterrestrial life.
BIO 1100

Human Biology

3 credits · 3 lecture per week · On campus, Online

Introduces the structure and function of the human body and the biological principles that underlie health and disease. Students examine cells and genetics, the major organ systems, nutrition, immunity, and the interaction of lifestyle and environment with well-being. Emphasis is placed on reading scientific evidence, interpreting health information in the media, and applying biological concepts to everyday decisions and public health issues. Weekly laboratory-style activities and case studies develop observation and data interpretation skills for students from any discipline.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the structure and function of cells, tissues and the major organ systems of the human body using appropriate biological terminology.
  2. Explain how genetic inheritance, metabolism and immune responses contribute to human health, variation and disease.
  3. Interpret graphs, tables and data from simple health and biology investigations and draw supported conclusions.
  4. Evaluate the quality of health and biology claims in news, advertising and online sources using criteria from scientific methodology.
  5. Discuss ethical, social and environmental issues in human biology, including access to health care and emerging genetic technologies.
BUS 1100

Introduction to Business

3 credits · 3 lecture per week · On campus, Online

Provides a broad introduction to how businesses are organized, managed and operated in a global economy. Students examine forms of ownership, entrepreneurship, management functions, marketing, operations, human resources, accounting and finance, and the legal and ethical environment of business. Current cases from small and large firms illustrate how organizations create value and respond to technology, competition and social expectations. Students develop teamwork and communication skills through case discussion and a group business concept project.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the major functions of business, including management, marketing, operations, human resources, accounting and finance, and how they interact.
  2. Compare forms of business ownership and explain the role of entrepreneurship and small business in the economy.
  3. Interpret basic financial statements and business data to assess the performance of an organization.
  4. Analyze business cases to identify problems and justify recommendations, communicating them in writing and orally.
  5. Evaluate the ethical, legal and sustainability responsibilities of business in a global context.
CHM 1100

Chemistry in Society

3 credits · 3 lecture per week · On campus, Online

Explores the chemistry that underlies materials, energy, food, medicines and the environment encountered in everyday life. Students study atoms, bonding, chemical reactions, acids and bases, and the chemistry of the atmosphere, water and consumer products. Case studies on climate change, plastics and household chemicals show how chemical knowledge informs policy and personal decisions. Laboratory-style demonstrations and data analysis develop scientific reasoning for students without a background in chemistry and prepare them to follow scientific debates with confidence.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe atomic structure, periodic trends and chemical bonding and use them to explain the properties of common substances.
  2. Apply simple stoichiometric and acid-base calculations to solve everyday problems involving chemical reactions and solutions.
  3. Explain the chemical processes behind climate change, air and water pollution, and energy production using appropriate scientific models.
  4. Analyze data from simple chemical investigations and present findings clearly in tables, graphs and short reports.
  5. Evaluate the environmental and ethical implications of chemical products and industrial processes, including life-cycle and sustainability considerations.
COM 1200

Interpersonal and Intercultural Communication

3 credits · 3 lecture per week · On campus, Online

This course explores how people create meaning and build relationships through communication in personal, academic, community and workplace contexts. Students study theories of verbal and nonverbal communication, listening, perception, conflict, and the influence of culture, identity and technology on interaction. Through role plays, structured dialogues, presentations and reflective journals, students develop skills in active listening, assertive expression, feedback and collaboration across cultural differences. Emphasis is placed on ethical communication, empathy and inclusive practice in diverse Canadian and global settings.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain key models and concepts of interpersonal communication, including perception, listening, and verbal and nonverbal messages.
  2. Demonstrate active listening, assertive expression and constructive feedback in one-to-one and small-group interactions.
  3. Analyze how culture, identity, power and context shape communication and identify barriers to intercultural understanding.
  4. Apply conflict-management and negotiation strategies to resolve realistic interpersonal and team scenarios in a respectful and ethical way.
  5. Plan and deliver a clear, well-organized presentation and reflect on personal communication strengths, challenges and growth areas.
COM 2100

Media and Society

3 credits · 3 lecture per week · On campus

Examines the role of media in shaping culture, politics and everyday life. Students study the history and political economy of print, broadcast and digital media, and apply theories of representation, audiences, framing and technology to contemporary cases. Topics include news production, advertising, popular culture, social media platforms, misinformation, surveillance and algorithmic bias. The course combines critical reading with applied media analysis, including content analysis and audience research, and asks students to reflect on their own media practices. Emphasis is placed on media literacy and on communicating analysis effectively to academic and public audiences.

Prerequisites
ENG 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain major theories of media and society, including political economy, cultural studies, framing and technological determinism.
  2. Analyze media texts and representations of gender, race, class and culture using appropriate concepts and evidence.
  3. Design and conduct a small content analysis or audience study and interpret its findings responsibly.
  4. Assess the political, economic and ethical implications of digital platforms, misinformation and surveillance.
  5. Produce clear, well-organized written and multimedia commentary on media issues for a public audience, working effectively in teams.
CRM 2100

Introduction to Criminology

3 credits · 3 lecture per week · On campus, Online

Provides a sociological and interdisciplinary introduction to crime, criminal law and the criminal justice system. Students learn how crime is defined and measured, review major theories of criminal behaviour from classical and biological perspectives to strain, control, labelling and critical theories, and examine patterns of offending and victimization. The course considers policing, courts, corrections and restorative justice, with particular attention to racialized and Indigenous communities and to Canadian and comparative examples. Students evaluate evidence, debate policy and reflect on ethical issues in justice.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe how crime is defined, measured and distributed using official statistics, victimization surveys and self-report data.
  2. Apply major criminological theories to explain criminal behaviour and offending patterns in real cases.
  3. Analyze the structure and functioning of policing, courts and corrections and evaluate evidence on their effectiveness.
  4. Communicate balanced analyses of crime and justice issues in writing and debate.
  5. Examine issues of inequality, racism, Indigenous overrepresentation and ethics in the justice system and reflect on responsible citizenship.
CSC 1100

Digital Literacy and Computing Essentials

3 credits · 3 lecture per week · On campus, Online

This course builds the digital skills needed for study, work and citizenship. Students learn how computers, networks and the internet work, and use productivity software for word processing, spreadsheets and presentations. Topics include file management, cloud collaboration, data analysis with spreadsheets, introductory programming concepts through block-based and scripting tools, online privacy and cybersecurity, and the social and ethical implications of technology, including artificial intelligence. Hands-on labs and projects develop confidence, problem-solving and the ability to evaluate and select digital tools for different tasks.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain how computers, networks and the internet work and describe how data is stored, transmitted and secured.
  2. Use word-processing, presentation and cloud collaboration tools to produce professional, well-organized documents.
  3. Analyze and visualize data using spreadsheet formulas, functions, charts and basic data cleaning techniques.
  4. Develop simple algorithms and programs that use variables, conditionals and loops to solve small problems.
  5. Evaluate ethical, privacy, security and social issues of digital technologies and adopt responsible online practices.
DAT 2100

Data Literacy and Visualization

3 credits · 3 lecture per week · On campus, Online

Develops the skills to find, clean, analyze, visualize and communicate data responsibly. Students learn how data are collected and structured, work with spreadsheets and basic scripting tools to summarize and chart data, and apply principles of visual design to create clear and honest graphics. The course covers descriptive statistics, sampling and uncertainty, misleading statistics, privacy and algorithmic bias. Projects use open data on topics such as health, environment and public policy and culminate in an infographic or dashboard for a general audience.

Prerequisites
MAT 1100 with a minimum grade of C-, and CSC 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Identify appropriate sources and types of data and assess their quality, provenance and limitations for answering a given question.
  2. Clean, organize and summarize data using spreadsheets or basic scripting tools to compute descriptive statistics and detect problems.
  3. Design clear, accurate and accessible data visualizations by selecting appropriate chart types and applying principles of visual perception.
  4. Interpret statistical results including sampling variability and uncertainty, and communicate findings in plain language to non-technical audiences.
  5. Analyze ethical issues in data use, including privacy, bias and consent, and propose responsible practices for a data project.
ECN 1100

Principles of Microeconomics

3 credits · 3 lecture per week · On campus

This course introduces the economic way of thinking and the principles of microeconomics. Students study scarcity and choice, supply and demand, elasticity, consumer and producer behaviour, costs of production, and the operation of competitive and imperfectly competitive markets. The course also considers market failures such as externalities and public goods, and the role of government policy. Graphs, simple algebra and real-world cases are used to analyze everyday decisions, business strategy and public policy, preparing students for further study in economics and the social sciences.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the core concepts of scarcity, opportunity cost, comparative advantage and marginal analysis.
  2. Analyze markets using supply, demand and elasticity to predict the effects of changes in conditions and policy.
  3. Model the behaviour of consumers and firms, including costs, profit maximization and market structures.
  4. Evaluate market failures such as externalities and public goods and assess the equity and efficiency of policy responses.
  5. Communicate economic reasoning using graphs, equations and short written arguments, working collaboratively on applied problems.
ECN 1200

Principles of Macroeconomics

3 credits · 3 lecture per week · On campus

Introduces the economy as a whole. Students study national income accounting, economic growth, unemployment, inflation, and the business cycle, then examine how aggregate demand and aggregate supply determine output and prices. The course explains the roles of money, banking, and the central bank, and compares fiscal and monetary policy in stabilizing the economy. Open-economy topics, including exchange rates and the balance of payments, are introduced. Students practise reading macroeconomic data, building simple graphical models, and evaluating current policy debates in Canada and the United States using evidence from official statistics.

Prerequisites
ECN 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain how key macroeconomic aggregates such as GDP, unemployment and inflation are defined, measured and interpreted over time.
  2. Apply the aggregate demand and aggregate supply model to explain fluctuations in output and the price level.
  3. Describe how money, banks and central banks operate and how monetary policy influences interest rates and spending.
  4. Evaluate fiscal and monetary policy options for stabilizing the economy using evidence from recent Canadian and US experience.
  5. Communicate macroeconomic analysis clearly in written form for non-specialist readers, citing official data sources.
ECN 2100

Intermediate Microeconomics

3 credits · 3 lecture per week · On campus

Develops the theory of consumer and producer behaviour using calculus-based models. Topics include preferences and utility maximization, demand and elasticity, production and cost, perfect competition, monopoly, and introductory game theory. The course extends to general equilibrium, externalities, public goods, and welfare economics. Students formulate and solve constrained optimization problems and use the results to analyse markets and public policy. Emphasis is placed on connecting formal models to empirical examples, such as pricing, taxation, and regulation, and on communicating technical results clearly.

Prerequisites
ECN 1100 with a minimum grade of C-, and MAT 1150 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Formulate and solve constrained optimization problems for consumers and firms using calculus and graphical methods.
  2. Analyze market outcomes under perfect competition, monopoly and oligopoly and compare their efficiency.
  3. Evaluate the welfare effects of taxes, subsidies, externalities and public goods using surplus analysis.
  4. Interpret empirical evidence on pricing, demand and market power in relation to theoretical predictions.
  5. Present technical economic arguments in clear written solutions and a short policy memo.
ECN 2200

Intermediate Macroeconomics

3 credits · 3 lecture per week · On campus

Studies the determinants of aggregate output, employment, inflation, and interest rates. The course develops long-run growth theory, the classical and Keynesian models, and the IS-LM and aggregate demand-aggregate supply frameworks. It then introduces dynamic ideas, including consumption and investment decisions, expectations, and the Phillips curve. Students use these tools to analyse monetary and fiscal policy, business cycles, and financial crises. Throughout, theory is linked to data on the Canadian and US economies, and students practise solving models algebraically and interpreting the results.

Prerequisites
ECN 1200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Solve and interpret the Solow growth model and explain sources of long-run differences in income across countries.
  2. Use the IS-LM and AD-AS models to analyse the short-run effects of fiscal and monetary shocks.
  3. Explain how expectations, consumption smoothing and investment decisions shape the dynamics of the business cycle.
  4. Assess monetary and fiscal policy responses to recessions, inflation and financial crises using historical evidence.
  5. Present quantitative macroeconomic analysis in clear written reports supported by accurate graphs and data.
ECN 2300

Introduction to Econometrics

3 credits · 3 lecture per week · On campus

Introduces the statistical methods economists use to estimate relationships and test hypotheses with data. The course reviews probability and inference, then develops simple and multiple linear regression, the properties of least squares estimators, hypothesis tests, and model specification. Topics include dummy variables, heteroskedasticity, functional form, omitted variables, and an introduction to causal inference and time series. Students use statistical software to analyse real data sets, interpret results in economic terms, and critique published empirical work. A research project integrates data work, interpretation, and written reporting.

Prerequisites
ECN 1100 with a minimum grade of C-, and STA 2100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Estimate simple and multiple linear regression models using statistical software and interpret coefficients in economic terms.
  2. Test hypotheses and construct confidence intervals for regression parameters, and explain the properties of the OLS estimator.
  3. Diagnose and respond to specification problems including omitted variables, heteroskedasticity and functional form misspecification.
  4. Evaluate the credibility of causal claims in published empirical economics research and identify threats to validity.
  5. Design and report an original empirical analysis communicating methods, results and limitations to an academic audience.
ECN 3100

Money and Banking

3 credits · 3 lecture per week · On campus

Examines the role of money, financial markets, and banking in the economy. Topics include the determination of interest rates, the structure and regulation of financial institutions, bank management, and the economics of financial crises. The course analyses how central banks conduct monetary policy, including inflation targeting and unconventional tools, and how policy affects output, inflation, and asset prices. Students study the Canadian and US financial systems and use current data to evaluate policy decisions. Written analysis and class discussion of central bank communications are important components of the course.

Prerequisites
ECN 2200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the determination of interest rates, the term structure and the role of financial intermediaries in allocating capital.
  2. Analyze bank management, regulation and the causes and consequences of financial crises.
  3. Evaluate how central banks implement monetary policy and how policy transmits to output, inflation and asset prices.
  4. Use data to assess monetary policy decisions and financial conditions in Canada and the United States.
  5. Communicate reasoned positions on monetary and financial policy in analytical writing and structured oral discussion.
ECN 3200

International Economics

3 credits · 3 lecture per week · On campus

Analyses the economics of international trade and finance. The first half covers classical and modern trade theory, including comparative advantage, factor endowments, increasing returns, and firm heterogeneity, as well as the effects of tariffs, quotas, and trade agreements. The second half covers the balance of payments, exchange rate determination, and open-economy macroeconomics, including international monetary systems and currency crises. Students use data and models to assess trade policy and exchange rate regimes, with attention to Canada's trade relationships and the distributional effects of globalisation.

Prerequisites
ECN 2100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain patterns of international trade using comparative advantage, factor endowment and new trade theories.
  2. Analyze the welfare effects of tariffs, quotas, subsidies and trade agreements for different groups and countries.
  3. Explain exchange rate determination and the balance of payments using parity conditions and open-economy models.
  4. Evaluate exchange rate regimes, capital flows and currency crises using historical evidence.
  5. Collaborate in a team to produce and present a reasoned analysis of a contemporary trade policy issue.
ECN 3300

Labour Economics

3 credits · 3 lecture per week · On campus

Applies microeconomic theory and econometric methods to labour markets. Topics include labour supply and demand, human capital and education, wage determination, compensating differentials, discrimination, migration, unions, and unemployment. The course examines earnings inequality and the effects of minimum wages, immigration, and labour market policy. Students read and replicate empirical research, estimate wage equations with real data, and consider the equity and ethical dimensions of labour market outcomes. Emphasis is placed on understanding how empirical evidence is used to evaluate policy.

Prerequisites
ECN 2100 with a minimum grade of C-, and ECN 2300 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Apply models of labour supply and labour demand to explain employment and wage outcomes in competitive and imperfect markets.
  2. Explain how education, experience and training affect earnings through human capital and signalling models.
  3. Estimate and interpret wage equations using real data and statistical software, addressing selection and endogeneity concerns.
  4. Assess the causes and consequences of discrimination, inequality and unemployment and the policies designed to address them.
  5. Write an empirical research paper that tests a labour economics hypothesis and communicates results to an academic audience.
ECN 4100

Economic Development

3 credits · 3 lecture per week · On campus

Examines why some countries are rich and others poor and how poverty can be reduced. The course covers theories of growth and structural change, institutions and history, human capital, health, and demography. It then analyses development policy topics including trade and industrialisation, microfinance, foreign aid, agriculture, and governance, using evidence from randomized trials and cross-country research. Students evaluate competing explanations and policies, consider ethical and distributional issues, and complete a team-based country study that integrates theory, data, and policy recommendations.

Prerequisites
ECN 2100 with a minimum grade of C-, and ECN 2200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Evaluate competing theories of economic growth and structural change as explanations of differences in income across countries.
  2. Analyze microeconomic problems of poverty, including credit, health, education and household behaviour, using theory and field evidence.
  3. Assess development policies on trade, aid, agriculture and governance for effectiveness, equity and sustainability.
  4. Conduct an original country case study using development indicators and secondary research to support policy recommendations.
  5. Work effectively in a team to plan, produce and present a country study, reflecting critically on contributions and ethical issues.
ENG 1100

Academic Writing and Research

3 credits · 3 lecture per week · On campus

This course develops the reading, research and writing practices expected in university study. Students learn to analyze academic texts, formulate focused research questions, locate and evaluate sources, and build evidence-based arguments in clear, well-organized prose. Emphasis is placed on drafting, peer review and revision as a process, on documenting sources with integrity, and on adapting style to different academic audiences. Short assignments lead to a researched argumentative essay, supported by workshops, library sessions and individual feedback on writing.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Analyze academic and public texts to identify claims, evidence, assumptions and rhetorical strategies.
  2. Formulate focused research questions and locate relevant, credible sources using library databases and search strategies.
  3. Evaluate the credibility, relevance and bias of sources and integrate them ethically with accurate documentation.
  4. Compose well-organized argumentative essays with clear theses, logical structure and appropriate academic style.
  5. Reflect on feedback and revise own writing through peer review and a deliberate drafting process.
ENG 1200

Introduction to Literature

3 credits · 3 lecture per week · On campus

This course introduces students to the close reading and critical interpretation of poetry, short fiction, drama and creative nonfiction. Students learn the vocabulary of literary analysis, including form, genre, voice, imagery and narrative technique, and practise writing interpretive essays supported by textual evidence. Readings draw from a range of periods, cultures and traditions, inviting discussion of how literature represents identity, power, place and change. Class discussion, short responses and a research-informed essay develop analytical and communication skills.

Prerequisites
ENG 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Identify and define key elements of poetry, fiction and drama, including form, voice, imagery and narrative structure.
  2. Interpret literary texts through close reading that attends to language, structure and context.
  3. Construct interpretive arguments in writing, supported by well-chosen textual evidence and secondary sources.
  4. Discuss how literature represents cultural diversity, identity and social power across traditions.
  5. Communicate interpretations orally and collaboratively through seminar discussion and a group presentation supported by evidence.
ENG 2100

British Literature to 1800

3 credits · 3 lecture per week · On campus

This course surveys the literature of the British Isles from the Old English period to the end of the eighteenth century. Students read epic, lyric, drama, prose narrative and satire in historical context, tracing the development of genres, languages and literary conventions from Beowulf through Chaucer, the Renaissance, the Restoration and the Enlightenment. Emphasis is placed on close reading, the relationship of texts to political and religious change, and the use of period-appropriate critical vocabulary. Students practise writing analytical essays and situating primary works within the cultural conditions that produced them.

Prerequisites
ENG 1200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the major periods, genres and literary conventions of British literature from the Old English period to 1800 and their historical contexts.
  2. Analyze the language, form and structure of poems, plays and prose narratives through sustained close reading.
  3. Compare how authors from different periods treat recurring themes such as power, faith, love, gender and social order.
  4. Locate and evaluate scholarly and critical sources and incorporate them accurately into an argument using MLA documentation.
  5. Construct clear, well-organized analytical essays and oral contributions that advance an original argument about a primary text.
ENG 2200

American Literature

3 credits · 3 lecture per week · On campus

This course introduces students to American literature from the colonial period to the present. Through poetry, essays, short fiction, slave narratives and novels, students examine how writers imagine nation, identity, freedom and belonging, and how race, gender, class and region shape the American literary tradition. The course covers movements including Puritanism, Romanticism, Realism, Modernism and contemporary multi-ethnic writing. Students develop skills in close reading, contextual analysis and argumentative writing, and consider how canons are formed and challenged.

Prerequisites
ENG 1200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Outline the major periods, movements and canonical debates in American literature from colonial times to the present.
  2. Interpret poems, stories and novels through close reading that attends to form, voice, narrative and symbol.
  3. Analyze how race, gender, class and region shape representations of identity and belonging in American texts.
  4. Evaluate competing critical interpretations of an American text by drawing on relevant scholarly sources.
  5. Write persuasive analytical essays and deliver a short oral presentation on an American text.
ENG 2300

Introduction to Creative Writing

3 credits · 3 lecture per week · On campus

This workshop-based course introduces students to the practice of creative writing in poetry, short fiction and creative nonfiction. Students study published models, learn fundamental techniques such as image, voice, scene, character and structure, and produce original work each week. Class sessions combine craft discussion, writing exercises and constructive peer critique. Students develop a revision practice, learn to give and receive feedback, and assemble a portfolio of polished work that reflects growth across genres.

Prerequisites
ENG 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Apply fundamental craft elements such as image, voice, character, scene and structure in original poems, stories and creative nonfiction.
  2. Analyze published works to identify the techniques writers use and explain how those techniques create effect.
  3. Give and receive constructive peer critique that is specific, respectful and useful for revision.
  4. Revise original work substantially in response to feedback and reflection, demonstrating an independent writing process.
  5. Discuss ethical and cultural considerations in representing real people, places and experiences in creative work.
ENG 3100

Shakespeare

3 credits · 3 lecture per week · On campus

This course offers an in-depth study of the plays and poetry of William Shakespeare. Students read representative comedies, histories, tragedies and romances along with the sonnets, examining language, dramatic structure, performance history and cultural context. Topics include early modern theatre practice, genre, gender and power, and the reception and adaptation of Shakespeare from the seventeenth century to the present. Students analyze scenes in performance as well as on the page, and engage with current critical approaches to the plays.

Prerequisites
ENG 2100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Analyze Shakespeare's use of verse, prose, imagery and dramatic structure in representative comedies, histories, tragedies and romances.
  2. Situate Shakespeare's plays in the theatrical, political and religious contexts of early modern England.
  3. Evaluate multiple critical and performance interpretations of a play, including feminist, historicist and postcolonial readings.
  4. Develop an original research argument about a Shakespeare text supported by primary and scholarly evidence.
  5. Communicate interpretive arguments effectively through scene presentations and written work for academic audiences.
ENG 3200

Postcolonial Literatures

3 credits · 3 lecture per week · On campus

This course examines literatures produced in societies shaped by colonialism and its aftermath. Students read novels, poetry, drama and essays from Africa, South Asia, the Caribbean, Oceania and Indigenous North America, alongside foundational theory by Fanon, Said, Spivak and Bhabha. Topics include language and decolonization, nationalism, hybridity, diaspora, gender and the politics of representation. The course asks how writers resist, adapt and rewrite colonial narratives and how readers can responsibly engage with texts from cultures other than their own.

Prerequisites
one of ENG 2100 with a minimum grade of C- or ENG 2200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain key concepts in postcolonial theory, including orientalism, hybridity, subalternity and decolonization, and apply them to literary texts.
  2. Analyze how writers from formerly colonized regions use language, form and narrative to resist and reimagine colonial histories.
  3. Evaluate issues of power, representation, gender and cultural identity raised by postcolonial texts and their reception.
  4. Conduct independent research that places a postcolonial text in historical and critical context using appropriate sources.
  5. Communicate nuanced arguments in discussion, presentation and writing and collaborate respectfully across differing perspectives.
ENG 3300

Literary Theory and Criticism

3 credits · 3 lecture per week · On campus

This course surveys the major theories and critical methods that shape the study of literature, from classical poetics to contemporary criticism. Students encounter formalism, structuralism, psychoanalysis, Marxism, feminism, queer theory, post-structuralism, critical race theory and ecocriticism, and apply each approach to literary texts. Emphasis is placed on understanding the assumptions behind interpretive positions, evaluating their strengths and limits, and writing criticism that is theoretically informed and clear. The course prepares students for senior research and graduate study.

Prerequisites
one of ENG 2100 with a minimum grade of C- or ENG 2200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the central claims and historical development of major schools of literary theory and criticism.
  2. Apply theoretical frameworks to literary texts to produce informed and defensible interpretations.
  3. Evaluate the strengths, limitations and ideological assumptions of competing critical approaches to literature.
  4. Formulate and carry out an independent critical research project using scholarly sources and sound methodology.
  5. Communicate complex theoretical ideas clearly in writing and discussion to both specialist and general audiences.
ENG 3400

The Modern Novel

3 credits · 3 lecture per week · On campus

This course studies the novel in the twentieth and twenty-first centuries, from high modernism to contemporary experimental fiction. Students read works by authors such as Woolf, Joyce, Faulkner, Morrison, Rhys and Ishiguro and examine innovations in narrative voice, time, consciousness and structure. Topics include stream of consciousness, the unreliable narrator, historical fiction, metafiction and the global novel. The course situates the modern novel within social change, war, migration and technology, and considers how critics and readers have debated its forms and meanings.

Prerequisites
ENG 2200 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the formal innovations and historical contexts of the modern and contemporary novel.
  2. Analyze narrative voice, time, consciousness and structure in a range of modern novels through close, sustained reading.
  3. Evaluate how modern novels represent war, empire, race, gender and social change, and the ethical questions these representations raise.
  4. Design and execute an independent research project on a modern novel that engages scholarly debates.
  5. Present arguments effectively in writing and discussion and collaborate productively in a reading community.
ENG 4100

Senior Seminar in English Studies

3 credits · 3 lecture per week · On campus

This capstone seminar brings together the skills and knowledge students have developed in the English major. Participants undertake a substantial independent research project on a topic related to the seminar's thematic focus, which varies by year, and share their work through drafts, peer review and a public symposium. The course also addresses professional dimensions of literary study, including scholarly writing, conference presentation, digital portfolios and pathways to graduate study and careers. Emphasis is placed on original argument, methodological awareness and polished communication.

Prerequisites
ENG 3300 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Synthesize concepts, methods and debates from across the study of literature to frame an original research question in English studies.
  2. Conduct an extended independent research project using appropriate critical methods and a wide range of primary and secondary sources.
  3. Produce a polished scholarly essay that advances an original argument in a clear, precise and well-documented style.
  4. Present research effectively to academic and public audiences in oral and digital formats.
  5. Reflect critically on the ethical and cultural dimensions of scholarship and on one's own growth and goals as a student of English.
ENV 1100

Introduction to Environmental Studies

3 credits · 3 lecture per week · On campus, Online

This course introduces the study of environmental issues from scientific, social, economic and cultural perspectives. Students explore ecosystems, biodiversity, climate change, water, energy, food systems, pollution and waste, and the interactions between human societies and the natural world. They examine environmental policy, Indigenous knowledge and stewardship, environmental justice and strategies for sustainability. Field activities, data analysis and case studies develop skills in interdisciplinary analysis, and students design a local sustainability action project to connect learning to community.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the major components and processes of ecosystems and biogeochemical cycles and explain how humans alter them.
  2. Analyze the causes, evidence and consequences of climate change, pollution and resource use using data and models.
  3. Integrate scientific, economic, political and cultural perspectives, including Indigenous knowledge, to examine an environmental issue.
  4. Evaluate issues of environmental justice and sustainability and reflect on personal and collective responsibilities.
  5. Design and communicate a local sustainability action project using evidence and clear written and oral presentation.
FLM 2100

Film and Culture

3 credits · 3 lecture per week · On campus, Online

Studies film as an art form, a business and a cultural force. Students learn to analyze cinematic language including cinematography, editing, sound and narrative, and apply this analysis to films from Hollywood, world cinema, documentary and independent traditions. The course examines how films represent gender, race, class, nation and identity, how audiences interpret them, and how technology and industry shape what is made and seen. Through screenings, discussion and written analysis, students develop the ability to read films critically and write persuasively about them.

Prerequisites
WRT 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Analyze how cinematography, editing, sound, mise-en-scene and narrative structure create meaning in films.
  2. Situate films within historical, industrial and cultural contexts, including major movements and national cinemas.
  3. Evaluate representations of gender, race, class and nation in film using critical and theoretical frameworks.
  4. Write well-organized critical analyses and a short research essay on film using scholarly sources.
  5. Present and discuss film interpretations with peers and reflect on the ethics of media production and consumption.
GEO 1100

Human Geography

3 credits · 3 lecture per week · On campus

Introduces human geography, the study of how people, places and environments shape one another. Students examine population and migration, cultural landscapes, language and religion, political geography, economic development, agriculture, cities and the environment, using maps, spatial data and case studies from every region of the world. Concepts such as scale, place, space, diffusion and globalization are used to understand patterns of inequality and change. Students learn basic mapping and spatial analysis skills and consider sustainability, equity and human responsibility in a rapidly urbanizing world.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the core concepts of human geography, including place, space, scale, region and diffusion, with examples.
  2. Describe patterns of population, migration, culture and settlement and the processes that produce them.
  3. Create and interpret maps and simple spatial datasets using web-based geographic information tools.
  4. Analyze the causes and consequences of uneven development, urbanization and environmental change at local and global scales.
  5. Communicate a place-based case study that reflects on sustainability and one's own responsibilities as a global citizen.
GEO 2200

Urban Studies

3 credits · 3 lecture per week · On campus, Online

Explores cities as social, economic and spatial systems. The course introduces major concepts in urban studies including urbanization, urban form, land use, housing, transportation, planning and governance, and examines how these change in different historical and global contexts. Students investigate issues such as gentrification, segregation, informal settlements, suburbanization, sustainability and climate resilience, using case studies from Vancouver, Toronto and cities in the Global South. Fieldwork, mapping and basic spatial analysis help students observe and interpret the city, and consider the ethical dimensions of urban policy.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe key concepts and historical processes of urbanization, urban form and land use.
  2. Analyze urban social and spatial inequality, including housing, segregation and gentrification, using theory and evidence.
  3. Use maps, census data and basic GIS or mapping tools to describe and present urban patterns.
  4. Evaluate planning, transportation and sustainability policies for their effectiveness and equity in cities.
  5. Communicate urban analysis through field reports and presentations, and reflect on the ethical dimensions of urban change and community participation.
GST 1000

Foundations of University Learning

3 credits · 3 lecture per week · On campus, Online

This course introduces students to the expectations, resources and habits of mind that support success in university study. Students examine how knowledge is created and communicated across disciplines, develop strategies for time management, reading, note-taking and collaborative learning, and explore the services and communities available on campus. Through reflection and practical exercises, students build an initial learning plan and an academic integrity toolkit. The course also begins a learning portfolio that follows students through the Bachelor of General Studies and helps them connect studies to personal goals.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the structure of university learning, the norms of academic integrity, and the campus services that support student success.
  2. Apply effective time management, reading, note-taking and study strategies to plan and complete academic tasks.
  3. Locate and evaluate library and online sources and use basic digital tools to organize and present information.
  4. Collaborate respectfully with peers from diverse backgrounds to complete a short group task and give constructive feedback.
  5. Reflect on personal strengths, values and goals and construct an initial learning plan and portfolio entry for the degree.
GST 2000

Interdisciplinary Inquiry

3 credits · 3 lecture per week · On campus, Online

This course develops the habits of interdisciplinary inquiry that define the Bachelor of General Studies. Students learn how different disciplines frame questions, gather evidence and build explanations, and practise combining insights from the humanities, social sciences, sciences and professional fields to address complex problems. Using themes such as health, technology, cities and food, students formulate research questions, search and synthesize literature, analyze evidence and communicate findings in written and oral forms. Collaborative inquiry projects and reflection on personal learning pathways prepare students for upper-level study.

Prerequisites
GST 1000 with a minimum grade of C-, and WRT 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Compare how disciplines in the humanities, social sciences and sciences frame questions, evidence and methods.
  2. Formulate a researchable interdisciplinary question and conduct a structured review of relevant literature.
  3. Integrate concepts and methods from two or more disciplines to analyze a complex real-world issue.
  4. Interpret and present quantitative and qualitative information using appropriate visualizations and digital tools.
  5. Collaborate in an interdisciplinary team and reflect on how inquiry skills inform personal learning and career pathways.
GST 3000

Global Issues and Citizenship

3 credits · 3 lecture per week · On campus, Online

This course examines global issues from interdisciplinary perspectives and develops the knowledge and dispositions of engaged global citizens. Students analyze topics such as inequality, migration, conflict, public health, climate change, digital technology and human rights, drawing on political economy, ethics, cultural studies and environmental science. Attention is given to colonial legacies, Indigenous rights, decolonizing perspectives and the roles of states, institutions and civil society. Case studies, simulations and community-engaged work encourage critical reflection on responsibilities and avenues for action in local and global contexts.

Prerequisites
GST 2000 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Analyze major global issues, including inequality, migration, conflict and climate change, using interdisciplinary frameworks.
  2. Evaluate ethical frameworks, human rights principles and decolonizing perspectives as they apply to global problems.
  3. Interpret global data and indicators critically and present evidence with appropriate digital tools.
  4. Communicate well-reasoned positions on global issues in policy briefs, discussion and debate with intercultural awareness.
  5. Reflect on personal responsibility and design a feasible action or advocacy plan connected to a global issue.
GST 4900

General Studies Capstone Project

3 credits · 3 lecture per week · On campus, Online

This capstone integrates learning from across the Bachelor of General Studies. Students design and complete an independent or small-team project that addresses a significant interdisciplinary question, problem or community need, drawing on knowledge and skills from their chosen pathway. Projects may take the form of a research study, a creative or applied product, a community partnership or a policy proposal. Students develop a proposal, conduct ethical research or development, reflect on their learning, and present results to an audience of faculty, peers and community partners, culminating in a professional portfolio.

Prerequisites
GST 3000 with a minimum grade of C- (and at least 90 credits).

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Formulate an interdisciplinary problem or research question that is significant, feasible and grounded in relevant literature.
  2. Design and carry out a rigorous project plan using appropriate methods and data, with attention to ethical standards.
  3. Integrate concepts and methods from multiple disciplines to produce well-supported findings, products or recommendations.
  4. Communicate project results professionally in a written report and an oral and digital presentation to varied audiences.
  5. Reflect critically on personal learning across the degree and develop a professional portfolio and plan for career, community and lifelong learning.
HIS 1100

World History since 1500

3 credits · 3 lecture per week · On campus

This course surveys major developments in world history from 1500 to the present, with attention to global connections, empires, trade, migration, revolution, industrialization and decolonization. Students examine how societies in Asia, Africa, the Americas and Europe shaped and were shaped by each other. Using primary sources and historians' interpretations, students learn to analyze change over time, weigh evidence and construct historical arguments. Lectures, source workshops and discussion encourage a comparative and critical understanding of the modern world.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the major political, economic and cultural developments of the world since 1500 in a global context.
  2. Analyze primary sources to identify perspective, purpose and context and to support historical claims.
  3. Compare historians' interpretations of key events and processes and evaluate the strengths of their arguments.
  4. Examine the experiences of diverse peoples under empire, slavery, migration and decolonization, and their legacies today.
  5. Write clear, evidence-based historical arguments and present research findings with proper citation.
HRM 2100

Human Resource Management

3 credits · 3 lecture per week · On campus, Online

Examines how organizations attract, develop, motivate and retain people. Students study job analysis, recruitment and selection, onboarding, training and development, performance management, compensation, employee relations and health and safety. The course considers employment law, equity and inclusion, and the effects of technology and remote work on the employment relationship. Cases, role plays and short exercises build practical skills in interviewing, giving feedback and resolving workplace issues, and prepare students for careers as managers, entrepreneurs or HR professionals.

Prerequisites
BUS 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain the strategic role of human resource management and its major functions within organizations.
  2. Design basic HR tools such as job descriptions, interview guides and performance review criteria for a given role.
  3. Analyze workplace cases involving motivation, performance, discipline and conflict and recommend justified courses of action.
  4. Interpret HR metrics and compensation data to support decisions about hiring, pay and retention.
  5. Evaluate equity, diversity, inclusion and ethical issues in people management and propose inclusive practices.
HUM 1200

Introduction to the Humanities

3 credits · 3 lecture per week · On campus, Online

Introduces students to the humanities as ways of asking questions about meaning, value and human experience. Through close engagement with philosophical texts, literature, visual art, music, and historical documents from several world traditions, the course explores how people have understood themselves, their communities and the natural world. Students practise interpretive reading, learn to distinguish description from argument, and consider how cultural context shapes meaning. Themes include story and myth, the good life, beauty, justice, and the role of the humanities in a technological society. Assignments develop clear writing, reflective practice and respectful dialogue across difference.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the major questions, methods and traditions that characterize humanistic inquiry across philosophy, literature, art, music and history.
  2. Interpret primary texts and cultural works by attending closely to form, language, genre and historical context.
  3. Compare works and ideas from different cultures and periods to identify continuities, differences and points of dialogue.
  4. Construct clear, evidence-based written and oral arguments about cultural works for an academic audience.
  5. Reflect on the ethical dimensions of cultural representation and on the relevance of the humanities to one's own learning pathway and community.
LDR 2100

Leadership and Teamwork

3 credits · 3 lecture per week · On campus, Online

Explores the theory and practice of leadership and effective teamwork in organizations and communities. Students examine leadership styles, power and influence, motivation, team development, communication, conflict, decision making and ethical leadership. Self-assessment tools and experiential exercises help students understand their strengths and preferences, while case studies highlight leaders across cultures and sectors. A team-based service or organizational project provides the opportunity to practise leadership, followership and reflection, and to plan for lifelong development of leadership capacity.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Compare major theories and models of leadership and apply them to examples from diverse organizations and cultures.
  2. Assess personal leadership strengths and growth areas using self-assessments and feedback, and set development goals.
  3. Apply principles of team development, communication, motivation and conflict resolution to improve team performance.
  4. Lead and contribute to a team project, demonstrating collaboration, accountability and effective oral and written communication.
  5. Analyze ethical leadership issues, including power, diversity and social responsibility, and justify principled decisions.
LIN 1100

Introduction to Linguistics

3 credits · 3 lecture per week · On campus

Introduces the scientific study of human language. Students explore how languages are structured at the levels of sounds, words, sentences and meaning, and how these structures are described using the tools of phonetics, phonology, morphology, syntax and semantics. The course also considers how children acquire language, how languages change over time, and how language varies across social groups and regions. Students analyze data from English and a range of other languages, and discuss the relationship between language, thought, identity and power. No prior knowledge of linguistics is assumed.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the sound systems of languages using phonetic transcription and basic phonological rules.
  2. Analyze word structure and sentence structure in English and other languages using morphological and syntactic diagrams.
  3. Explain how meaning, context and pragmatics shape communication, including ambiguity and implicature.
  4. Evaluate competing theories of language acquisition, change and variation using empirical evidence from child speech and communities.
  5. Discuss issues of language, identity, prestige and linguistic diversity, including endangered languages, in clear written and oral form.
MAT 1100

College Mathematics

3 credits · 3 lecture per week · On campus, Online

This course develops the mathematical reasoning needed for everyday decisions, further study and many careers. Students review arithmetic and algebra, then study ratios and percentages, linear and exponential models, financial mathematics, basic statistics and probability, and the interpretation of quantitative information in the media. Technology, including spreadsheets and graphing tools, supports problem solving. Emphasis is placed on understanding concepts, communicating reasoning, and evaluating the reasonableness of results in real-world situations. The course is designed for students in non-technical programs.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Perform accurate calculations with fractions, ratios, percentages, rates and unit conversions in practical contexts.
  2. Construct and interpret linear and exponential models to describe and predict real-world change.
  3. Apply financial mathematics, including simple and compound interest, loans and savings, to personal decisions.
  4. Summarize and interpret real data sets using descriptive statistics, appropriate graphs and basic probability calculations.
  5. Communicate mathematical reasoning clearly in words and symbols and evaluate quantitative claims in media and public policy.
MAT 1150

Quantitative Reasoning

3 credits · 3 lecture per week · On campus

This course builds the numerical and logical skills needed to interpret quantitative information in everyday life, work and the arts and social sciences. Topics include proportional reasoning, percentages, unit conversion, personal and organizational finance, exponential growth, basic probability, data displays, descriptive statistics and mathematical modelling. Students use spreadsheets to solve problems and communicate results. The emphasis is on understanding, estimation, and judging the reasonableness of numbers presented in media, policy and research.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Apply proportional reasoning, percentages and unit conversions to solve real-world problems accurately.
  2. Model financial situations involving interest, loans and savings using formulas and spreadsheets.
  3. Describe growth and change using linear and exponential models and interpret their parameters.
  4. Construct and interpret data displays and compute basic summary statistics and probabilities.
  5. Evaluate quantitative claims in media and policy and communicate numerical reasoning clearly in writing.
MKT 2100

Principles of Marketing

3 credits · 3 lecture per week · On campus, Online

Examines how organizations identify customer needs and create, price, promote and distribute products and services. Students study consumer behaviour, market research, segmentation and positioning, the marketing mix, branding, digital and social media marketing, and the ethical dimensions of marketing practice. Analytical exercises and a team marketing plan allow students to apply concepts to real products and services. The course is suitable for students planning careers in business, non-profit and public organizations as well as those interested in understanding persuasion in modern society.

Prerequisites
BUS 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain the marketing concept and the roles of segmentation, targeting and positioning in creating customer value.
  2. Analyze consumer and organizational buyer behaviour using psychological, social and cultural frameworks.
  3. Interpret primary and secondary market research data to support marketing decisions.
  4. Develop an integrated marketing plan that coordinates product, price, place and promotion, including digital channels.
  5. Evaluate the ethical, social and cultural implications of marketing practices, including advertising to vulnerable audiences and data privacy.
MUS 1100

Music Appreciation

3 credits · 3 lecture per week · On campus, Online

Develops informed and enjoyable listening through a survey of music from many periods, cultures and genres. Students learn the basic elements of music, including rhythm, melody, harmony, texture and form, and apply them to listening examples ranging from medieval chant and Baroque concertos to jazz, popular music and the music of Indigenous, African, Asian and Latin American traditions. The course explores how music reflects social change, identity and technology and how listeners experience it emotionally and culturally. No performance experience or ability to read music is required.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Identify the basic elements of music and describe how they are used in representative works from different styles.
  2. Classify works and genres by period, style and cultural origin using listening evidence.
  3. Interpret the cultural and social significance of music by connecting works to their historical and cultural contexts.
  4. Write clear listening analyses and concert reports supported by specific musical evidence.
  5. Reflect on personal and community musical experiences and the ethics of cultural appropriation and music access.
PHI 1100

Critical Thinking and Reasoning

3 credits · 3 lecture per week · On campus

This course introduces the principles of clear and rigorous thinking. Students learn to identify and reconstruct arguments, distinguish deductive from inductive reasoning, and recognize common fallacies and cognitive biases. Topics include the structure of arguments, validity and soundness, informal logic, analogical and causal reasoning, probability and evidence, and the evaluation of claims in media and everyday life. Through exercises, debates and case studies drawn from science, politics and ethics, students develop habits of reflective, evidence-based judgment.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Identify the premises and conclusions of arguments in ordinary and academic texts and represent them in standard form.
  2. Distinguish deductive and inductive reasoning and assess arguments for validity, soundness and strength.
  3. Recognize and explain formal and informal fallacies and cognitive biases that undermine good reasoning.
  4. Evaluate causal claims, statistical statements and evidence in news, science and public debate.
  5. Present and defend reasoned positions on contested issues in writing and in structured discussion.
PHI 2100

Ethics

3 credits · 3 lecture per week · On campus

Examines the major traditions of moral philosophy and their application to contemporary problems. Students study virtue ethics, consequentialism, deontology, contractarianism and care ethics, and consider metaethical questions about the objectivity and meaning of moral claims. Close reading of classic texts by Aristotle, Kant, Mill and Rawls is combined with analysis of applied issues such as poverty, animal welfare, technology and professional responsibility. Emphasis is placed on constructing and evaluating arguments, anticipating objections, and writing clear philosophical prose. The course develops the reasoning skills needed to reflect responsibly on moral choices in personal and public life.

Prerequisites
PHI 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the central claims of virtue ethics, consequentialism, deontology, contractarianism and care ethics.
  2. Analyze moral arguments by reconstructing premises, identifying hidden assumptions and assessing validity and soundness.
  3. Apply ethical theories to contemporary issues such as global poverty, animal welfare, technology and professional conduct.
  4. Compose a sustained philosophical essay that states a thesis, defends it and responds to the strongest objections.
  5. Discuss moral disagreement respectfully and reflect on how one's own values and cultural background shape ethical judgement.
PHY 1100

Conceptual Physics

3 credits · 3 lecture per week · On campus, Online

Develops a conceptual understanding of the fundamental laws of physics through everyday phenomena and demonstration. Topics include motion, forces and Newton's laws, energy and momentum, heat and thermodynamics, waves and sound, electricity and magnetism, light, and an introduction to modern physics. Mathematics is limited to arithmetic and simple algebra, with emphasis on qualitative reasoning, estimation and graph interpretation. Students use inquiry-based activities and simulations to test predictions and to connect physical principles to technology, sport and the environment.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain the motion of objects using the concepts of position, velocity, acceleration and force, including Newton's three laws.
  2. Describe energy, momentum, heat and wave phenomena and apply conservation principles to everyday and technological systems.
  3. Perform simple calculations, order-of-magnitude estimates and graphical analyses to solve physics problems.
  4. Design and carry out simple experiments or simulations, and report results with clear evidence-based explanations.
  5. Discuss how physics-based technologies such as electricity generation and communications affect society, the environment and global equity.
POL 1100

Introduction to Political Science

3 credits · 3 lecture per week · On campus

Introduces the study of politics, power and government. Students examine core concepts such as the state, sovereignty, legitimacy, democracy and authoritarianism, and survey the main ideologies that shape political life. The course compares political institutions, electoral systems, party systems and federalism across countries, and considers how citizens participate through voting, movements and the media. It also introduces international relations, political economy and global challenges such as inequality and climate change. Students develop skills in reading political arguments, interpreting evidence and writing concise policy-oriented analysis.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Define and apply core political concepts, including power, the state, legitimacy, sovereignty and citizenship.
  2. Compare democratic and authoritarian systems, electoral rules and institutions in several countries.
  3. Evaluate political ideologies and their treatment of liberty, equality and justice using primary and secondary sources.
  4. Interpret simple political data such as polls, election results and indices of democracy to support an argument.
  5. Communicate a concise, well-supported policy brief and contribute constructively to group debate.
POL 2200

Comparative Politics

3 credits · 3 lecture per week · On campus, Online

Introduces the comparative study of political systems, institutions and processes. Students examine how democracies, authoritarian regimes and hybrid systems are organized and how they differ in electoral systems, party systems, federalism, executives and legislatures. Case studies from Canada, the United States, Europe, Asia, Africa and Latin America illustrate concepts such as state formation, regime change, nationalism, political culture and development. Students learn to formulate comparative questions, select cases, and use qualitative and quantitative evidence to evaluate competing explanations of political outcomes.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain the core concepts used to compare political systems, including state, regime, institutions, political culture and legitimacy.
  2. Compare institutional designs such as electoral systems, party systems and federalism and their effects on political outcomes.
  3. Apply the comparative method, including case selection and the use of political data, to evaluate explanations of democratization and regime change.
  4. Write and present well-organized comparative analyses of political systems for academic and public audiences.
  5. Assess ethical and global dimensions of politics, including human rights, inequality and the responsibilities of citizens.
PRJ 2100

Project Management Fundamentals

3 credits · 3 lecture per week · On campus, Online

Introduces the principles and practice of planning, executing and closing projects in business, community and technical settings. Students learn to define scope, build work breakdown structures, estimate time and cost, schedule activities, identify and manage risk, communicate with stakeholders and monitor progress. Agile and traditional approaches are compared. Using planning software and templates, students develop a complete project plan for a realistic project and reflect on teamwork, ethics and professional responsibility in project environments.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the project life cycle and the knowledge areas of project management, and compare predictive and agile approaches.
  2. Develop a project charter, scope statement and work breakdown structure for a defined project.
  3. Estimate durations and costs and construct a schedule and budget using standard techniques and software.
  4. Identify, assess and plan responses to project risks and communicate project status to stakeholders.
  5. Demonstrate effective teamwork, professional ethics and reflective practice in a project setting.
PSY 1100

Introduction to Psychology

3 credits · 3 lecture per week · On campus

This course introduces the scientific study of behaviour and mental processes. Students survey the history and methods of psychology and major areas including the biological bases of behaviour, sensation and perception, learning, memory, cognition, development, motivation and emotion, personality, social behaviour, and psychological disorders and treatment. Emphasis is placed on how psychologists gather and evaluate evidence, on research ethics, and on applying psychological findings to everyday life. Students participate in demonstrations and take part in research as part of the course.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the major theories, findings and subfields of psychology and their historical development.
  2. Explain research methods in psychology and evaluate evidence from experimental, correlational and observational studies.
  3. Explain biological, cognitive, developmental and social influences on behaviour using empirical evidence.
  4. Analyze ethical principles in psychological research and cultural perspectives on mental health and behaviour.
  5. Communicate psychological concepts clearly in writing and apply them in reflective and collaborative activities.
PSY 1200

Psychology of Everyday Life

3 credits · 3 lecture per week · On campus, Online

Applies psychological science to everyday life, exploring how people think, feel, behave and relate to others. Using real-world examples from relationships, work, health, media, learning and technology, the course introduces core topics including perception, memory, motivation, emotion, personality, stress, social influence and well-being. Students learn how psychologists use research to test ideas, distinguish scientific findings from folk beliefs, and apply evidence-based strategies to improve decision making and mental health. The course encourages reflection on diversity, culture and ethics in the study of behaviour.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe core concepts, theories and findings in psychology, including perception, memory, motivation, emotion, personality and social behaviour.
  2. Apply psychological principles to analyze everyday situations in relationships, work, health and learning.
  3. Evaluate psychological claims by distinguishing scientific evidence from anecdotes, popular myths and misleading media reports.
  4. Communicate psychological ideas clearly and accurately in short written responses and brief presentations.
  5. Discuss ethical, cultural and diversity issues in psychological research and reflect on strategies for personal well-being and learning.
PSY 2100

Research Methods in Psychology

3 credits · 3 lecture per week · On campus

This course introduces the logic and practice of scientific inquiry in psychology. Students learn how to formulate testable hypotheses, design experimental, correlational and quasi-experimental studies, measure psychological constructs, and evaluate threats to validity. The course covers sampling, ethics in research with human participants, survey and observational methods, and the basics of qualitative approaches. Students apply descriptive and inferential statistics to real data sets, interpret results, and report findings in APA style. Emphasis is placed on research transparency, replication and the responsible communication of findings, culminating in a small group study that students design, run and present.

Prerequisites
PSY 1100 with a minimum grade of C-, and STA 2100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Formulate testable research questions and hypotheses and select an appropriate design (experimental, correlational, quasi-experimental or qualitative) to address them.
  2. Evaluate the reliability, validity and ethical soundness of published psychological studies and measures.
  3. Analyze quantitative data using appropriate descriptive and inferential procedures in statistical software and interpret the results accurately.
  4. Communicate research designs and findings in APA-style written reports and oral presentations for academic audiences.
  5. Collaborate with peers to design, conduct and reflect on a small empirical study using open and transparent research practices.
PSY 2200

Developmental Psychology

3 credits · 3 lecture per week · On campus

This course surveys human development from conception through late adulthood. Students examine physical, cognitive, social and emotional change across the lifespan and the theories that explain it, including Piaget, Vygotsky, Erikson, attachment theory and ecological systems perspectives. Topics include prenatal development, early childhood, adolescence, emerging adulthood, midlife and ageing. The course considers genetic, family, cultural and socioeconomic influences on development and the methods developmental scientists use. Students apply theory to everyday issues such as parenting, education, identity and grief, and consider diversity and equity across contexts.

Prerequisites
PSY 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe major stages, milestones and theories of physical, cognitive and socioemotional development across the lifespan.
  2. Compare developmental research designs and evaluate evidence for competing theoretical explanations of developmental change.
  3. Analyze how culture, socioeconomic status, family structure and historical context shape developmental pathways and outcomes.
  4. Apply developmental concepts to case studies and observations of children, adolescents and adults.
  5. Communicate developmental ideas in clear academic writing and reflect on one's own development and learning.
PSY 2300

Social Psychology

3 credits · 3 lecture per week · On campus

This course examines how people think about, influence and relate to one another. Students study social cognition, attitudes and persuasion, conformity and obedience, group dynamics, prejudice and discrimination, aggression, prosocial behaviour and interpersonal attraction. Classic experiments and contemporary research are considered alongside debates about replication and the role of culture and context. Students apply social psychological theory to current issues such as misinformation, polarization, inequality and online behaviour, and consider the ethical implications of studying and shaping social behaviour.

Prerequisites
PSY 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain core theories and findings in social cognition, attitudes, influence, group processes and intergroup relations.
  2. Evaluate the methods, ethics and replicability of classic and contemporary social psychology experiments.
  3. Apply social psychological theories to analyze real-world issues such as prejudice, misinformation, persuasion and collective action.
  4. Design and analyze a small survey or experiment testing a social psychological hypothesis and interpret the results responsibly.
  5. Present arguments about social behaviour effectively in written and oral formats, drawing on scholarly sources.
PSY 2400

Cognitive Psychology

3 credits · 3 lecture per week · On campus

This course explores how the mind acquires, stores, transforms and uses information. Topics include attention, perception, working memory, long-term memory, knowledge representation, language, problem solving, reasoning, decision making and expertise. Students learn the experimental paradigms of cognitive psychology, interpret reaction time and accuracy data, and connect behavioural findings to computational and neuroscience models. Applications to education, eyewitness testimony, human-computer interaction and artificial intelligence are discussed. Students participate in hands-on experiments and learn to evaluate competing cognitive theories.

Prerequisites
PSY 1100 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the major models and findings of cognitive psychology in attention, perception, memory, language and thinking.
  2. Interpret data from classic cognitive experiments, including reaction time and accuracy measures, and draw valid conclusions.
  3. Conduct a simple computer-based cognitive experiment and report its method and results using APA conventions.
  4. Apply cognitive principles to real-world problems in education, law, technology and health.
  5. Collaborate with peers and reflect on personal learning strategies informed by cognitive research.
PSY 3100

Abnormal Psychology

3 credits · 3 lecture per week · On campus

This course examines the description, classification, causes and treatment of psychological disorders. Students study anxiety, mood, trauma-related, psychotic, personality, neurodevelopmental and substance-related disorders using the DSM-5-TR framework and contemporary models such as the diathesis-stress and biopsychosocial approaches. The course covers assessment, diagnosis, evidence-based treatments and prevention, and critically considers stigma, cultural variation, the medical model and ethical issues in clinical practice. Case studies and first-person narratives are used to connect research to lived experience.

Prerequisites
one of PSY 2200 with a minimum grade of C- or PSY 2300 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Differentiate the major categories of psychological disorders, applying diagnostic criteria to case descriptions with attention to differential diagnosis.
  2. Evaluate biological, psychological and sociocultural models of the aetiology of disorders using empirical evidence.
  3. Critically appraise the evidence for psychological and pharmacological treatments, including outcome research and common factors.
  4. Analyze cultural, ethical and social-justice issues in diagnosis, stigma and mental health care.
  5. Write a professional case formulation and communicate clinical ideas respectfully in written and oral formats.
PSY 3200

Biological Psychology

3 credits · 3 lecture per week · On campus

This course investigates the biological bases of behaviour and mental processes. Students study the structure and function of neurons and the nervous system, neurotransmission, methods for measuring brain activity, and the neural bases of sensation, movement, sleep, emotion, learning, memory and language. The course considers hormones, genetics, evolution and neuroplasticity, as well as the biological dimensions of psychological disorders and substance use. Students critically evaluate neuroscience claims in the media and consider ethical issues in neurotechnology. Lab demonstrations and data interpretation exercises are included.

Prerequisites
PSY 2400 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Describe the structure and function of neurons, neurotransmitter systems and major brain regions and their roles in behaviour.
  2. Explain the neural mechanisms underlying sensation, movement, sleep, emotion and memory using findings from lesion, imaging and electrophysiological studies.
  3. Critically evaluate neuroscience research claims, including media reports and common misconceptions about the brain.
  4. Analyze and interpret neuroscience data sets and figures, including EEG, fMRI or behavioural pharmacology results.
  5. Discuss ethical and social implications of neurotechnology and biological explanations of behaviour.
PSY 3300

Personality Psychology

3 credits · 3 lecture per week · On campus

This course examines major theoretical perspectives on personality and the evidence for individual differences in thought, feeling and behaviour. Students study trait models such as the Big Five, psychodynamic, humanistic, social-cognitive and evolutionary approaches, as well as the roles of genes, culture and situations. The course covers personality assessment, its reliability and validity, stability and change across the lifespan, and links between personality and health, work and relationships. Students critically evaluate popular personality tests and reflect on cultural bias, fairness and ethical use of assessment.

Prerequisites
PSY 2300 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Compare major theories of personality, including trait, psychodynamic, humanistic, social-cognitive and evolutionary perspectives, in terms of assumptions and evidence.
  2. Evaluate the reliability, validity and cultural fairness of personality assessments, including self-report inventories and projective tests.
  3. Analyze personality data from a self-report questionnaire using correlation and regression, and interpret findings in light of theory.
  4. Explain how genes, environment, culture and life experience contribute to the stability and change of personality over time.
  5. Reflect critically on one's own personality and learning, and communicate insights in a reflective essay grounded in theory.
PSY 4100

Advanced Seminar in Psychology

3 credits · 3 lecture per week · On campus

This capstone seminar investigates a selected topic in psychology at an advanced level through intensive reading, discussion and independent research. Students engage with primary literature, evaluate competing theories and methods, and examine controversies in the discipline such as replication, measurement and the societal use of psychological science. Each student develops a literature-based research proposal, leads class discussion and produces a polished final paper. The course emphasizes scholarly writing, constructive peer review, ethical reasoning and integration of knowledge from the major, and prepares students for graduate study or research-oriented careers.

Prerequisites
PSY 2100 with a minimum grade of C- (and one 3000-level PSY course).

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Synthesize and critically evaluate primary research on a focused topic, identifying gaps, contradictions and competing theoretical explanations.
  2. Design a rigorous empirical study that addresses a gap in the literature, including measures, analysis plan and ethical safeguards.
  3. Write a sustained, well-structured scholarly paper in APA style that argues a position supported by evidence.
  4. Lead and contribute to scholarly discussion, giving and receiving constructive peer review respectfully.
  5. Reflect on the ethical, cultural and societal implications of psychological research and on one's own development as a scholar.
REL 1100

World Religions

3 credits · 3 lecture per week · On campus, Online

Examines the beliefs, practices, texts and histories of the world's major religious traditions, including Indigenous traditions, Hinduism, Buddhism, Judaism, Christianity, Islam, Sikhism, and East Asian religions. Students approach religion as a human and cultural phenomenon, using comparative methods from religious studies, history and anthropology. Topics include sacred texts, ritual, myth, ethics, community and the relationship between religion and politics, science and secular life. The course emphasizes respectful dialogue, informed understanding of diversity and critical reflection on how religion shapes societies today.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe the central beliefs, practices, texts and histories of major world religious traditions.
  2. Apply comparative and critical methods to analyze religious phenomena such as myth, ritual, ethics and community.
  3. Interpret passages from sacred texts and primary sources in their historical and cultural contexts.
  4. Communicate respectful, evidence-based analyses of religion clearly in both written and oral formats.
  5. Examine ethical issues and the role of religion in contemporary diversity, pluralism and global citizenship, and reflect on one's own assumptions.
SCI 1100

Science in Everyday Life

3 credits · 3 lecture per week · On campus, Online

This course explores the scientific ideas and ways of thinking that shape everyday life. Using familiar topics such as food, health, energy, weather, materials, technology and the night sky, students learn core concepts from physics, chemistry, biology and earth science, together with the nature and limits of scientific inquiry. Students practise observing, measuring, designing simple experiments, interpreting data and evaluating scientific claims in the media. Laboratory-style activities and case studies connect science to society, ethics and decision making. No previous science background is assumed.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Describe fundamental concepts from physics, chemistry, biology and earth science and relate them to everyday phenomena.
  2. Explain the process of scientific inquiry, including hypotheses, controls, evidence and the role of peer review.
  3. Collect, graph and interpret simple experimental and observational data using basic quantitative methods.
  4. Evaluate scientific claims in news, advertising and social media using criteria for evidence and credibility.
  5. Discuss ethical, social and environmental implications of scientific and technological developments for communities and the planet.
SOC 1100

Introduction to Sociology

3 credits · 3 lecture per week · On campus

This course introduces the sociological perspective and the study of social life. Students examine culture, socialization, social structure, inequality, race and ethnicity, gender, family, education, deviance and social change. Major theoretical approaches, including functionalism, conflict theory and symbolic interactionism, are applied to contemporary issues. Students are introduced to sociological research methods and learn to interpret data and reflect on how their own lives are shaped by social forces, preparing them for further study in the social sciences.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Explain the sociological perspective and core concepts including culture, socialization, social structure and institutions.
  2. Apply functionalist, conflict and interactionist theories to interpret and compare explanations of contemporary social issues.
  3. Describe sociological research methods and interpret simple survey, interview and observational data presented in tables and charts.
  4. Analyze patterns of inequality related to class, race, gender and other identities and their consequences.
  5. Communicate sociological analysis clearly in writing and through collaborative field projects with peers.
SOC 2200

Contemporary Social Issues

3 credits · 3 lecture per week · On campus, Online

Applies sociological concepts and research evidence to pressing social issues in Canada and globally, including inequality, poverty, racism, gender and sexuality, migration, health, environmental change and digital technology. Students examine how social problems are defined, measured and addressed, and evaluate competing explanations and policy responses. The course emphasizes the interpretation of data, the use of sociological theories, and the ethical responsibilities of citizens and researchers. Through case studies, debates and a community-focused project, students develop the ability to analyze social issues critically and propose evidence-based solutions.

Prerequisites
GST 1000 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Explain how sociological concepts and theories account for the emergence and persistence of contemporary social issues.
  2. Interpret statistical and qualitative evidence about social issues, including graphs, tables and case studies.
  3. Evaluate policy responses and social movements addressing inequality, health, migration and environmental change.
  4. Communicate well-supported arguments about social issues in written, oral and digital formats.
  5. Analyze issues of diversity, ethics and global citizenship and reflect on personal responsibility for community engagement.
STA 2100

Introductory Statistics for the Social Sciences

3 credits · 3 lecture per week · On campus

This course introduces statistical reasoning and methods for the social sciences. Students learn to describe data, understand sampling and probability, estimate population parameters, test hypotheses, and analyze relationships using correlation and simple regression. Common tests for means, proportions and categorical association are covered. Students use statistical software to analyze real datasets from sociology, psychology and economics and learn to report findings clearly and ethically. Emphasis is on interpretation, assumptions and the limits of inference.

Prerequisites
MAT 1150 with a minimum grade of C-.

Effective Sep 8, 2026 · Part of Bachelor of Arts

Course learning outcomes (5)
  1. Summarize and visualize quantitative and categorical data using appropriate descriptive statistics and graphs.
  2. Apply probability concepts and sampling distributions to explain the logic of statistical inference.
  3. Construct and interpret confidence intervals and hypothesis tests for means, proportions and categorical association.
  4. Analyze relationships between variables using correlation and simple linear regression with statistical software.
  5. Communicate statistical findings clearly and ethically, recognizing limitations, bias and potential misuse.
WRT 1100

Writing for University and the Workplace

3 credits · 3 lecture per week · On campus, Online

This course develops the writing skills required in university study and in professional settings. Students practise planning, drafting, revising and editing a range of texts, including summaries, arguments, reports and workplace correspondence. They learn to analyze audience and purpose, structure ideas logically, integrate and cite sources, and adopt clear and inclusive style. Workshops, peer review and instructor conferences provide regular feedback. Students also learn to use digital writing tools responsibly and compile a portfolio of revised writing that demonstrates growth over the term.

Effective Sep 8, 2026 · Part of Bachelor of General Studies

Course learning outcomes (5)
  1. Plan, draft and revise clear, organized texts that suit a specified audience, purpose and genre.
  2. Summarize, paraphrase and cite sources accurately to support claims in academic writing.
  3. Construct a reasoned argument that uses credible evidence and acknowledges alternative viewpoints.
  4. Produce professional documents, including emails, reports and résumés, using appropriate tone, format and plain language.
  5. Give and respond to peer feedback and evaluate the ethical use of sources and digital writing tools.

Graduate courses42 courses

ECN 7000

Mathematical Methods for Economists

3 credits · 3 lecture per week · On campus, Online

This course develops the mathematical tools used throughout graduate economics. Topics include real analysis and convexity, linear algebra, multivariate calculus, unconstrained and constrained optimization, the envelope theorem, comparative statics, correspondences and fixed-point theorems, and an introduction to dynamic optimization and probability. Emphasis is placed on rigorous proof and on applying each technique to canonical economic problems in consumer, producer and equilibrium theory. Weekly problem sets build fluency, and students learn to read and write the formal arguments that appear in modern economics research papers.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Prove fundamental results in real analysis, convexity and linear algebra and use them to establish properties of economic models.
  2. Solve unconstrained and constrained optimization problems using Lagrange and Kuhn-Tucker methods, and verify second-order conditions.
  3. Derive comparative statics results using the implicit function theorem and the envelope theorem in consumer and producer problems.
  4. Apply fixed-point theorems and correspondence theory to establish the existence of economic equilibria.
  5. Formulate and solve simple dynamic optimization problems and communicate formal arguments clearly in written and oral form.
ECN 7100

Microeconomic Theory I

3 credits · 3 lecture per week · On campus, Online

This course is the first of three on microeconomic theory at the doctoral level. It covers preference and choice theory, consumer demand and welfare, production and cost, expected utility and risk, aggregation, and general equilibrium in exchange and production economies. Students study the welfare theorems, the Sonnenschein-Mantel-Debreu results and the core of an economy. The course emphasizes careful axiomatic reasoning and the use of duality methods, preparing students to read the contemporary microeconomic literature and develop their own models.

Prerequisites
ECN 7000 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Analyze preferences, choice correspondences and revealed preference data using formal axiomatic methods and representation theorems.
  2. Derive consumer demand, indirect utility and expenditure functions and use duality to evaluate welfare changes.
  3. Characterize production sets, cost functions and firm behaviour under competitive and non-competitive conditions.
  4. Model choice under uncertainty and critically evaluate expected utility theory against behavioural evidence.
  5. Prove and interpret the existence of general equilibrium and the welfare theorems, and present these arguments to peers.
ECN 7110

Microeconomic Theory II

3 credits · 3 lecture per week · On campus, Online

This course continues the microeconomic theory sequence with the analysis of markets and welfare. Topics include partial equilibrium, imperfect competition and oligopoly, externalities and public goods, social choice and welfare economics, and the foundations of mechanism design. Students study the Arrow impossibility theorem, Gibbard-Satterthwaite, incentive compatibility and the revelation principle. The course develops skill in modelling strategic and institutional environments and in judging when market outcomes are efficient, preparing students for game theory and field courses.

Prerequisites
ECN 7100 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Analyze partial equilibrium markets and welfare using consumer surplus, deadweight loss and the theory of the second best.
  2. Model oligopoly and imperfect competition and compare Cournot, Bertrand and Stackelberg outcomes.
  3. Characterize externalities, public goods and their remedies, including Pigouvian and Coasean solutions.
  4. Prove and interpret core results in social choice and welfare economics, including Arrow and Gibbard-Satterthwaite.
  5. Design incentive-compatible mechanisms using the revelation principle and communicate results in a referee report and presentation.
ECN 7120

Microeconomic Theory III: Games and Information

3 credits · 3 lecture per week · On campus, Online

This course completes the microeconomic theory sequence with a rigorous treatment of non-cooperative game theory and the economics of information. Topics include normal and extensive form games, Nash and subgame perfect equilibrium, Bayesian games, signalling and screening, repeated games, refinements of equilibrium, adverse selection, moral hazard and auctions. Students formalize strategic problems, prove existence and characterization results and examine applications in industrial organization, labour, finance and political economy. The course builds the modelling capacity needed to produce original theoretical research.

Prerequisites
ECN 7110 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Formulate strategic situations as normal and extensive form games and compute Nash and subgame perfect equilibria.
  2. Analyze games of incomplete information, signalling and equilibrium refinements, including perfect Bayesian equilibrium.
  3. Characterize optimal contracts under adverse selection and moral hazard in principal-agent models.
  4. Analyze repeated games and auctions, and state and apply folk theorems and revenue equivalence results.
  5. Critically evaluate applied theory papers, identify open questions and write a referee report with full ethical attribution.
ECN 7200

Macroeconomic Theory I

3 credits · 3 lecture per week · On campus, Online

This course is the first in the doctoral macroeconomic theory sequence. It covers the neoclassical growth model, the Solow and Ramsey-Cass-Koopmans frameworks, overlapping generations, dynamic programming in discrete and continuous time, and the recursive competitive equilibrium. Students study consumption and savings, capital accumulation, and the welfare theorems in dynamic settings. The course emphasizes formal analysis and numerical solution, linking theory to long-run facts about growth and development and preparing students for the more advanced macroeconomics courses.

Prerequisites
ECN 7000 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the Solow and Ramsey-Cass-Koopmans growth models, including steady states and transition dynamics.
  2. Formulate dynamic optimization problems using Bellman equations and optimal control, and characterize their solutions.
  3. Define and solve recursive competitive equilibria in representative-agent and overlapping generations economies.
  4. Evaluate growth theories against stylized facts and cross-country evidence using literature critically.
  5. Implement numerical solutions of dynamic models and present the results with transparent, reproducible code.
ECN 7210

Macroeconomic Theory II

3 credits · 3 lecture per week · On campus, Online

This course continues the macroeconomic theory sequence with stochastic dynamic models and the study of business cycles. Topics include stochastic growth, real business cycle models, consumption and asset pricing, search and unemployment, new Keynesian models with nominal rigidities, optimal monetary and fiscal policy, and financial frictions. Students solve linearized models, analyze impulse responses and evaluate competing explanations of aggregate fluctuations. The course combines theory, calibration and critical reading of the policy literature.

Prerequisites
ECN 7200 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Solve and simulate stochastic dynamic general equilibrium models using perturbation and linearization methods.
  2. Analyze real business cycle models and evaluate their ability to match moments of aggregate data.
  3. Derive the consumption-based asset pricing model and interpret equity premium and risk-free rate puzzles.
  4. Develop search-and-matching and new Keynesian models of unemployment, inflation and nominal rigidity.
  5. Communicate model-based policy analysis in a research memo and presentation suitable for academic and policy audiences.
ECN 7220

Macroeconomic Theory III: Computational Methods

3 credits · 3 lecture per week · On campus, Online

This course trains students in the numerical methods used to solve and estimate modern macroeconomic models. Topics include projection and perturbation methods, value function and policy function iteration, heterogeneous agent models with idiosyncratic risk, the Aiyagari and Krusell-Smith frameworks, discrete choice dynamic models, structural estimation and simulation methods, and high-performance computing practices. Students write and benchmark their own code, replicate published results and extend them. Reproducibility, testing and code documentation are required throughout.

Prerequisites
ECN 7210 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Implement value function and policy function iteration methods to solve dynamic programming problems with accuracy diagnostics.
  2. Apply projection, perturbation and endogenous grid methods to solve stochastic macroeconomic models.
  3. Solve and simulate heterogeneous agent models with idiosyncratic risk and aggregate uncertainty.
  4. Estimate structural parameters using simulated method of moments and indirect inference, and interpret identification.
  5. Produce documented, tested and reproducible code and report results in a research paper.
ECN 7300

Econometrics I

3 credits · 3 lecture per week · On campus, Online

This course is the first in the econometrics sequence and develops the theory of estimation and inference for the linear model. Topics include probability and asymptotic theory, the classical linear regression model, ordinary and generalized least squares, heteroskedasticity-robust inference, instrumental variables, the generalized method of moments, maximum likelihood, hypothesis testing and bootstrap methods. Emphasis is placed on rigorous derivations and on implementing estimators in statistical software to analyze real economic data.

Prerequisites
ECN 7000 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive the finite-sample and asymptotic properties of ordinary least squares and generalized least squares estimators.
  2. Conduct valid inference under heteroskedasticity and clustering using robust and bootstrap methods.
  3. Estimate models with endogenous regressors using instrumental variables and the generalized method of moments.
  4. Apply maximum likelihood estimation and the associated trinity of tests to economic models.
  5. Analyze data in statistical software and report results transparently, with attention to reproducibility and responsible data use.
ECN 7310

Econometrics II

3 credits · 3 lecture per week · On campus, Online

This course continues the econometrics sequence with methods for cross-sectional and microeconometric data. Topics include binary, count and multinomial choice models, censored and truncated data, sample selection, treatment effects, instrumental variables with heterogeneous effects, regression discontinuity, difference-in-differences, matching, nonparametric and semiparametric estimation, and an introduction to causal inference. Students study the identification arguments behind each method, implement estimators on microdata and critically examine applied papers. Assignments develop the habits of careful, reproducible empirical work.

Prerequisites
ECN 7300 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Estimate and interpret discrete choice, count and limited dependent variable models using maximum likelihood.
  2. Define causal parameters in the potential outcomes framework and assess the identification assumptions required for each estimand.
  3. Apply regression discontinuity, difference-in-differences and matching designs to program evaluation data.
  4. Use nonparametric and semiparametric methods, including kernel estimation, for flexible modelling of conditional relationships.
  5. Conduct and present a replication of an applied microeconometric paper, documenting data handling and ethical safeguards.
ECN 7320

Econometrics III: Time Series and Panel Data

3 credits · 3 lecture per week · On campus, Online

This course completes the econometrics sequence with time series and panel data methods. Topics include stationary and nonstationary processes, ARMA and VAR models, unit roots and cointegration, structural identification, forecasting, volatility models, static and dynamic panel estimation, fixed and random effects, GMM estimation of dynamic panels, and large-T and large-N asymptotics. Students implement methods on macroeconomic, financial and microeconomic panels, interpret results in economic terms and learn to present empirical findings in a form suitable for submission to a journal.

Prerequisites
ECN 7310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Analyze stationary time series using ARMA models, spectral ideas and forecasting criteria.
  2. Test for unit roots and cointegration and estimate error-correction models for nonstationary data.
  3. Identify and estimate structural VAR models and interpret impulse responses and variance decompositions.
  4. Estimate static and dynamic panel data models using fixed effects, GMM and recent bias-correction methods.
  5. Write an empirical paper that applies appropriate time series or panel methods and communicates the findings to an academic audience.
ECN 7400

Research Design and Professional Practice in Economics

3 credits · 3 lecture per week · On campus, Online

This course introduces doctoral students to the practice of economic research and the professional norms of the discipline. Topics include formulating research questions, reviewing literature, choosing theoretical and empirical strategies, research ethics and integrity, data management and reproducibility, writing for economics journals, giving seminar and conference presentations, refereeing, grant and fellowship applications, and preparing for the academic and non-academic job markets. Students develop a research proposal and receive structured feedback from faculty and peers.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Formulate original, feasible research questions in economics and justify their significance relative to the literature.
  2. Design a research strategy, selecting theoretical or empirical methods appropriate to the question and data.
  3. Apply principles of research ethics, integrity and reproducibility, including data governance and responsible authorship.
  4. Write clear, well-structured economics papers and constructive referee reports that follow the conventions of the discipline.
  5. Present research in seminar and conference formats and plan a professional career in academia or other sectors.
ECN 7500

Economic History and the History of Economic Thought

3 credits · 3 lecture per week · On campus, Online

This course surveys the evolution of economic ideas and the historical processes that shape economies. It examines classical political economy, the marginal revolution, Marshallian and Walrasian traditions, Keynesian and monetarist debates, the rise of general equilibrium and game theory, and recent shifts toward empirical and behavioural approaches. Alongside, it studies key episodes in economic history, including industrialization, the gold standard, the Great Depression and postwar growth. Students develop historical perspective on current debates and learn to read primary sources critically.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Describe the major schools of economic thought and trace how their central ideas developed.
  2. Evaluate the historical context and the methodological assumptions of influential economic theories and their policy implications.
  3. Analyze major episodes in economic history using economic theory together with quantitative evidence from historical data.
  4. Critically assess primary sources and secondary literature and synthesize them in a historiographical essay.
  5. Communicate arguments about the history of economics in writing and discussion, respecting standards of scholarly attribution.
ECN 8100

Development Economics I

3 credits · 3 lecture per week · On campus, Online

This doctoral field course introduces the microeconomic foundations of development economics. Students study models of poverty traps, credit, insurance and savings constraints, human capital investment, household behaviour, technology adoption and the organization of firms in low-income economies. The course pairs theory with the empirical methods that dominate the field, including randomized controlled trials, panel data and structural estimation, and trains students to read and referee frontier papers. Seminar discussion and replication exercises prepare students to identify a research question, assess its identification strategy and begin an original research proposal suitable for a dissertation field paper.

Prerequisites
ECN 7110 with a minimum grade of B-, and ECN 7310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of poverty traps, growth and household decision-making in developing economies, and explain how their predictions depend on key assumptions.
  2. Apply microeconometric methods including randomized evaluations and panel data to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on microeconomic development and poverty, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question in household, market or institutional constraints in a low-income setting, using a credible modelling or identification strategy.
  5. Communicate research on microeconomic development and poverty effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8110

Development Economics II

3 credits · 3 lecture per week · On campus, Online

This advanced field course extends Development Economics I to the aggregate and institutional questions of development. Topics include structural transformation, misallocation and productivity, migration and urbanization, trade and development, the historical roots of institutions, state capacity and taxation, conflict, social protection and climate. Students engage with quasi-experimental, spatial and structural approaches, including satellite and administrative data. Emphasis is placed on research design, interpretation of long-run evidence and the identification of open questions. Students develop a full research paper that makes an original contribution suitable for submission to a field workshop.

Prerequisites
ECN 8100 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of structural transformation, productivity and long-run growth in developing economies, and explain how their predictions depend on key assumptions.
  2. Apply reduced-form and structural methods including quasi-experimental designs and spatial data to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on macro-development, institutions and the political economy of growth, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on growth, structural change, migration or institutions in developing economies, using a credible modelling or identification strategy.
  5. Communicate research on macro-development, institutions and the political economy of growth effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8120

Political Economy

3 credits · 3 lecture per week · On campus, Online

This field course examines how political institutions and individual incentives shape economic policy and outcomes. Topics include social choice, electoral competition, probabilistic voting, special interest politics, agency and accountability, media and information, redistribution, the origins of democracy and dictatorship, clientelism, conflict, state capacity and populism. The course emphasizes formal modelling using game theory alongside the empirical strategies that test political models, including regression discontinuity and natural experiments. Students write referee reports, replicate key papers and develop an original research paper at the intersection of economics and political science.

Prerequisites
ECN 7120 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of political institutions, voting, lobbying and redistribution, and explain how their predictions depend on key assumptions.
  2. Apply empirical strategies for political data, including regression discontinuity and natural experiments to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on political economy and the performance of democratic and non-democratic institutions, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on elections, institutions, conflict or policy formation, using a credible modelling or identification strategy.
  5. Communicate research on political economy and the performance of democratic and non-democratic institutions effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8200

Labour Economics

3 credits · 3 lecture per week · On campus, Online

This doctoral field course covers the theory and evidence of modern labour economics. Topics include labour supply and demand, human capital and the returns to schooling, compensating differentials, search and matching, monopsony and wage dispersion, wage inequality and technological change, minimum wages, immigration, discrimination and gender gaps, firm effects in matched employer-employee data, and intergenerational mobility. Emphasis is placed on research design and on the interplay between structural models and credible reduced-form evidence. Students critique published work, replicate empirical results using administrative data, and develop an original research paper in the field.

Prerequisites
ECN 7110 with a minimum grade of B-, and ECN 7310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of labour supply, labour demand, human capital and search and matching models, and explain how their predictions depend on key assumptions.
  2. Apply instrumental variables, panel data and employer-employee data methods to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on labour markets, wages, inequality and discrimination, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on wages, employment, human capital or labour market institutions, using a credible modelling or identification strategy.
  5. Communicate research on labour markets, wages, inequality and discrimination effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8210

Public Economics

3 credits · 3 lecture per week · On campus, Online

This doctoral field course develops the theory and empirics of public economics. Topics include optimal income and commodity taxation, capital taxation, tax incidence, behavioural responses to taxes, public goods and externalities, social insurance including unemployment insurance and pensions, health insurance, local public goods and fiscal federalism, tax evasion and enforcement, and the sufficient-statistics approach to welfare analysis. The course links normative theory with quasi-experimental evidence and policy design. Students critique frontier papers, work through formal derivations and replications, and write an original research paper on a question in tax or public policy.

Prerequisites
ECN 7110 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of optimal taxation, public goods, social insurance and fiscal federalism, and explain how their predictions depend on key assumptions.
  2. Apply sufficient-statistics methods and quasi-experimental evaluation of tax and transfer programs to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on taxation, public spending and social insurance, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on tax design, public provision or social insurance, using a credible modelling or identification strategy.
  5. Communicate research on taxation, public spending and social insurance effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8220

Health Economics

3 credits · 3 lecture per week · On campus, Online

This doctoral field course applies economic theory and causal inference to health and health care. Topics include the Grossman model of health demand, health insurance and moral hazard, adverse selection and market design, hospital and physician behaviour, pharmaceutical markets, the socioeconomic gradient in health, early-life determinants of health, public insurance programs, health in low-income countries and behavioural health. Emphasis is placed on empirical strategies using administrative and claims data, including difference-in-differences, regression discontinuity and randomized evaluations. Students replicate published studies, write referee reports and develop an original research paper on a health policy question.

Prerequisites
ECN 7310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of health production, insurance markets, moral hazard and adverse selection, and explain how their predictions depend on key assumptions.
  2. Apply quasi-experimental and administrative-data methods for health and health care to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on health, health care markets and health policy, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on health behaviour, insurance, providers or health policy, using a credible modelling or identification strategy.
  5. Communicate research on health, health care markets and health policy effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8300

International Trade

3 credits · 3 lecture per week · On campus, Online

This doctoral field course presents the theory and empirics of international trade. Topics include Ricardian and Heckscher-Ohlin models, increasing returns and monopolistic competition, firm heterogeneity, the gravity equation, welfare gains from trade, trade and inequality, the China shock, trade policy and agreements, global value chains, offshoring and economic geography. Students learn to build and calibrate quantitative trade models and to identify trade elasticities from data. The course emphasizes the link between theory and evidence and prepares students to write an original research paper in international trade.

Prerequisites
ECN 7110 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of gravity, comparative advantage, increasing returns and firm heterogeneity in trade, and explain how their predictions depend on key assumptions.
  2. Apply quantitative trade models, estimation of trade elasticities and quasi-experimental trade evidence to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on international trade, trade policy and the distributional effects of globalization, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on trade, trade policy or global production networks, using a credible modelling or identification strategy.
  5. Communicate research on international trade, trade policy and the distributional effects of globalization effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8310

International Macroeconomics and Finance

3 credits · 3 lecture per week · On campus, Online

This doctoral field course develops the theory and evidence of open-economy macroeconomics and international finance. Topics include intertemporal models of the current account, real exchange rates, exchange rate puzzles, open-economy New Keynesian models, dominant currency pricing, sovereign debt and default, currency and banking crises, sudden stops, capital flow regulation, the global financial cycle and global imbalances. Students solve and simulate dynamic models, estimate relationships using macro and financial data, and critically evaluate policy debates. The course culminates in an original research paper that combines a theoretical framework with empirical or quantitative analysis.

Prerequisites
ECN 7210 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of open-economy intertemporal models, exchange rates, capital flows and sovereign debt, and explain how their predictions depend on key assumptions.
  2. Apply calibration, simulation and time series methods for open-economy data to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on international finance, exchange rate determination and global financial cycles, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on exchange rates, capital flows, sovereign debt or monetary policy in open economies, using a credible modelling or identification strategy.
  5. Communicate research on international finance, exchange rate determination and global financial cycles effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8320

Financial Economics

3 credits · 3 lecture per week · On campus, Online

This doctoral field course covers the theory and empirics of asset pricing and financial economics. Topics include expected utility and the stochastic discount factor, CAPM and multifactor models, the equity premium puzzle, habits and long-run risk, the term structure of interest rates, market microstructure, limits to arbitrage, behavioural finance, intermediary asset pricing, corporate finance and household finance. Students learn to test asset pricing models using GMM and cross-sectional methods and to assess the empirical evidence critically. The course prepares students to produce an original research paper at the interface of finance and economic theory.

Prerequisites
ECN 7110 with a minimum grade of B-, and ECN 7210 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of asset pricing, stochastic discount factors, market frictions and corporate finance, and explain how their predictions depend on key assumptions.
  2. Apply GMM, cross-sectional asset pricing tests and panel methods for financial data to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on asset pricing, financial intermediation and corporate finance, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on asset prices, intermediaries, household finance or corporate decisions, using a credible modelling or identification strategy.
  5. Communicate research on asset pricing, financial intermediation and corporate finance effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8400

Industrial Organization

3 credits · 3 lecture per week · On campus, Online

This doctoral field course covers the theory and empirical analysis of imperfectly competitive markets. Topics include monopoly and price discrimination, oligopoly, product differentiation, collusion, entry deterrence, vertical relations, auctions, two-sided platforms, innovation and antitrust. The empirical component focuses on structural estimation, including demand estimation with random-coefficients discrete choice models, production function estimation, dynamic entry and merger simulation. Students program and estimate models using real market data, critique published papers and develop an original research paper that combines theory with careful empirical analysis.

Prerequisites
ECN 7120 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of market power, strategic competition, entry and firm conduct, and explain how their predictions depend on key assumptions.
  2. Apply structural estimation of demand and supply, including random-coefficients discrete choice models to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on imperfect competition, market structure and antitrust policy, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on competition, pricing, mergers, platforms or innovation, using a credible modelling or identification strategy.
  5. Communicate research on imperfect competition, market structure and antitrust policy effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8410

Empirical Methods in Applied Microeconomics

3 credits · 3 lecture per week · On campus, Online

This doctoral course provides advanced training in the empirical methods that underpin modern applied microeconomics. Topics include potential outcomes and identification, matching, instrumental variables and local average treatment effects, regression discontinuity, difference-in-differences with staggered adoption, synthetic control, shift-share designs, experimental design and power, inference with clustered and multiple outcomes, partial identification and machine learning for causal inference. Students implement the methods in statistical software, replicate published studies and critique research design. The course concludes with an original empirical research paper that demonstrates credible identification and transparent, reproducible practice.

Prerequisites
ECN 7310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of potential outcomes, identification and the logic of credible causal inference, and explain how their predictions depend on key assumptions.
  2. Apply difference-in-differences, regression discontinuity, instrumental variables, synthetic control and machine learning for causal inference to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on applied microeconomic research design, identifying contributions, limitations and open questions.
  4. Design and carry out original research on an applied question requiring credible identification with observational or experimental data, using a credible modelling or identification strategy.
  5. Communicate research on applied microeconomic research design effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 8420

Behavioural Economics

3 credits · 3 lecture per week · On campus, Online

This doctoral field course examines how psychological evidence refines economic theory and policy. Topics include prospect theory and reference dependence, time inconsistency and self-control, social preferences, biased beliefs and heuristics, limited attention, nudges and choice architecture, behavioural industrial organization and contract design, behavioural welfare economics and the methodology of laboratory and field experiments. Students formalize behavioural models, evaluate the empirical evidence, and design and analyze experiments. The course culminates in an original research paper that proposes and tests a behavioural model or designs a behavioural intervention suitable for field testing.

Prerequisites
ECN 7120 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Derive and analyze the core theoretical models of reference dependence, time inconsistency, social preferences and limited attention, and explain how their predictions depend on key assumptions.
  2. Apply laboratory and field experiments, structural estimation of behavioural parameters and mobile and administrative data analysis to real data to estimate and test hypotheses, while assessing the credibility of identification.
  3. Critically evaluate the frontier research literature on behavioural economics and the psychology of economic decisions, identifying contributions, limitations and open questions.
  4. Design and carry out original research on a question on bounded rationality, preferences, beliefs or behavioural policy design, using a credible modelling or identification strategy.
  5. Communicate research on behavioural economics and the psychology of economic decisions effectively in a written paper and seminar presentation, following standards of transparency and reproducibility.
ECN 9000

Doctoral Research Workshop I

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This workshop launches doctoral students into independent research in economics. Students identify research questions, position them within the literature, and develop a first research design through weekly presentations and structured peer feedback. Sessions cover idea generation, identification strategies, data sources, reproducible workflows, and the norms of professional seminars and refereeing. Each student produces a research idea paper and presents it to faculty and peers. The course is graded Pass/Fail and builds the habits of regular writing, clear exposition and constructive critique needed for dissertation work.

Prerequisites
ECN 7400 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Formulate an original and well-motivated research question in economics grounded in a critical reading of the relevant literature.
  2. Design an identification or modelling strategy appropriate to the research question and assess its strengths and limitations.
  3. Present early-stage research clearly and concisely to an academic audience and respond constructively to questions.
  4. Evaluate the work of peers through written and oral referee-style feedback that is rigorous, specific and collegial.
  5. Apply professional standards of transparency, data stewardship and reproducibility when planning and documenting a research project.
ECN 9010

Doctoral Research Workshop II

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This second workshop advances students from a research idea to a full working paper. Students present revised drafts, receive structured critique, and refine empirical or theoretical analysis, with attention to robustness, exposition and the conventions of the job-market paper. Sessions address conference and seminar practice, responding to referees, coauthorship, and preparation for the comprehensive examination and proposal stage. Students deliver a working paper, a conference-style presentation and a submitted-style referee response. The course is graded Pass/Fail and emphasizes sustained progress, intellectual independence and professional conduct in research.

Prerequisites
ECN 9000 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Develop a working paper that makes a clear and defensible contribution by extending a research idea into complete theoretical or empirical analysis.
  2. Apply advanced theoretical, econometric or computational methods to test the robustness and limits of the main findings.
  3. Present research in conference style to expert audiences and defend its assumptions, methods and conclusions under questioning.
  4. Critique others' research through detailed referee reports and respond professionally to critique of one's own work.
  5. Maintain transparent and reproducible research practices and observe professional standards in data use, authorship and conduct.
ECN 9200

Dissertation Proposal

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This course guides doctoral candidates through preparation, submission and defence of a dissertation proposal in economics. Students formulate a coherent programme of research, review the relevant literature, specify models and empirical strategies, and develop a feasible timeline and data plan. Work proceeds through supervisory meetings, written drafts, mock defences and committee consultation, with attention to research ethics and funding. Students submit a written proposal and defend it before their committee. The course is graded Pass/Fail and marks the transition to independent doctoral research.

Prerequisites
ECN 9010 with a minimum grade of B- (and successful completion of the comprehensive examinations).

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Synthesize the literature in the chosen field to establish the significance and originality of a dissertation programme.
  2. Specify rigorous theoretical, econometric or computational approaches for each component of the dissertation and justify these choices.
  3. Develop a feasible plan for data, computation, timeline and funding that is consistent with ethical and institutional requirements.
  4. Write a clear and persuasive dissertation proposal that meets professional standards of scholarly exposition.
  5. Defend the proposal orally before a committee, responding to expert critique and incorporating committee guidance.
ECN 9300

Dissertation Research I

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This course supports the first stage of independent dissertation research under the guidance of a supervisor and committee. Candidates carry out the first major component of the dissertation, such as a model, an empirical analysis or a computational study, and prepare it as a chapter-length paper. Regular supervisory meetings, a mid-term progress seminar and committee check-in structure the work. Candidates also develop research data management, replication and presentation practices. The course is graded Pass/Fail on the basis of milestones achieved and evidence of sustained progress toward a significant original contribution.

Prerequisites
ECN 9200 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Conduct original research for the first dissertation chapter using advanced theoretical, econometric or computational methods.
  2. Interpret results critically in light of the literature and clarify their contribution and limitations.
  3. Prepare a chapter-length paper that meets professional standards of exposition and argument.
  4. Present preliminary results at a progress seminar and respond to critique from faculty and peers.
  5. Manage data, code and documentation in a transparent and reproducible manner consistent with ethical and institutional requirements.
ECN 9310

Dissertation Research II

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This course continues independent dissertation research with emphasis on the second and third substantive components of the dissertation. Candidates extend their programme, integrate findings across chapters, and prepare work for external audiences such as conferences, seminars and the job market. Regular supervisory meetings, a conference-style presentation and a committee review structure the term. Candidates refine writing, respond to external critique and strengthen reproducible research practices. The course is graded Pass/Fail on the basis of milestones achieved and demonstrated progress toward a coherent dissertation that makes a significant original contribution.

Prerequisites
ECN 9300 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Complete original research for additional dissertation chapters that extend and strengthen the contribution of the programme.
  2. Synthesize findings across chapters into a coherent argument that advances understanding in the field.
  3. Present research at an external-style venue and respond to expert critique, using feedback to improve the work.
  4. Write polished chapter drafts that meet the standards of scholarly publication in economics.
  5. Sustain responsible research practice by maintaining replication materials, documenting data use and observing professional norms.
ECN 9320

Dissertation Research III and Defence

3 credits · 3 lecture per week · On campus, Online · Pass or fail

This capstone course completes the doctoral dissertation and culminates in the oral defence. Candidates finish remaining research, integrate chapters into a coherent dissertation, revise in response to committee feedback, and prepare for examination by an internal and external examiner. Regular supervisory meetings, a pre-defence seminar and a mock defence structure the term. Candidates also ready their replication materials and plan the dissemination of their work. The course is graded Pass/Fail and a Pass requires a successful defence and acceptance of the final dissertation by the committee and graduate studies.

Prerequisites
ECN 9310 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Doctor of Philosophy in Economics

Course learning outcomes (5)
  1. Complete and integrate the dissertation chapters into a coherent document that advances knowledge in economics.
  2. Evaluate the dissertation's contributions, limitations and implications critically in relation to the wider literature and policy debates.
  3. Defend the dissertation orally before an examining committee, responding to expert questions on methods, assumptions and conclusions.
  4. Revise the dissertation in response to examiner feedback and produce a final document that meets institutional and professional standards.
  5. Deposit reproducible code, data documentation and ethical clearances that conform to professional standards of transparency and responsible data use.
ENT 5200

Entrepreneurship and New Venture Creation

3 credits · 3 lecture per week · On campus, Online

Examines how entrepreneurs identify opportunities, test ideas and build new ventures. Students study opportunity recognition, customer discovery, business model design, lean experimentation, venture team formation, resource acquisition, legal structures and early-stage growth. Through a term-long venture project, teams develop and validate a business concept, build a minimum viable product plan and pitch to a panel of practitioners. Cases and guest founders illustrate the ethical, social and financial challenges of starting and scaling a business. The course integrates marketing, finance and strategy concepts from the core and prepares students for the specialization.

Prerequisites
MGT 5110 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Evaluate entrepreneurial opportunities by applying frameworks for market analysis, customer discovery and feasibility assessment.
  2. Design and iteratively test a business model for a new venture using lean experimentation methods.
  3. Build and lead an early-stage venture team, allocating roles, equity and responsibilities fairly.
  4. Prepare realistic financial projections and a resource plan, and assess the legal and ethical implications of venture decisions.
  5. Communicate a compelling venture proposal in written and oral pitch formats tailored to investors and customers.
ENT 5210

Innovation and Design Thinking

3 credits · 3 lecture per week · On campus, Online

Explores how organizations and entrepreneurs generate, develop and commercialize innovations through human-centred design. Students learn the design thinking process of empathizing, defining, ideating, prototyping and testing, and apply it to real organizational challenges. The course covers innovation strategy, disruptive and incremental innovation, creativity techniques, rapid prototyping, service design and managing innovation portfolios. Students work in teams with a sponsoring client organization to deliver a tested prototype and an implementation recommendation, while considering the social, ethical and environmental consequences of new products and services.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Apply the stages of design thinking to frame problems from the perspective of users and stakeholders.
  2. Generate and select innovative concepts using structured creativity and decision techniques, justified against user needs and business criteria.
  3. Build and test low-fidelity prototypes and use feedback to refine a solution.
  4. Evaluate innovation strategies, including disruption and portfolio management, and their ethical and sustainability implications.
  5. Lead a cross-functional team and present an implementation recommendation to a client with professional visual and verbal communication.
ENT 5220

Entrepreneurial Finance and Venture Capital

3 credits · 3 lecture per week · On campus, Online

Analyzes how entrepreneurial ventures are valued and financed from seed stage through exit. Students study start-up valuation methods, financial planning, term sheets, venture capital fund economics, angel investing, due diligence, governance and exit strategies such as acquisitions and public offerings. Using cases and negotiation exercises, students build capitalization tables, model dilution across funding rounds and assess the interests of founders and investors. The course also examines alternative financing, including debt, grants and crowdfunding, and considers ethical and diversity issues in venture finance. A final investment memo requires integration of valuation, deal structure and strategy.

Prerequisites
MGT 5120 with a minimum grade of B-, and ENT 5200 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Value early-stage ventures using discounted cash flow, comparables and venture capital methods, and explain the limits of each.
  2. Construct financial models and capitalization tables that show the effects of successive funding rounds on ownership and returns.
  3. Analyze term sheets and deal structures, including preferred equity, convertible instruments and governance rights, from founder and investor perspectives.
  4. Evaluate the ethical, legal and diversity implications of venture financing decisions and investor-founder relations.
  5. Prepare and defend an investment memo and negotiate a deal term sheet in a professional manner.
FIN 5300

Corporate Finance

3 credits · 3 lecture per week · On campus, Online

Introduces the principles and tools of corporate financial management. Topics include the time value of money, bond and equity valuation, capital budgeting under certainty and risk, the cost of capital, capital structure, dividend policy, working capital management, and financial planning. Students build spreadsheet models to value projects and firms and evaluate financing alternatives. The course emphasizes how financial decisions create value for shareholders and other stakeholders and examines ethical responsibilities in financial decision making and reporting.

Prerequisites
MGT 5120 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Apply time value of money, bond valuation and equity valuation techniques to price financial assets and support financing decisions.
  2. Evaluate capital investment projects using net present value, internal rate of return and sensitivity analysis under risk.
  3. Estimate the cost of capital and analyze capital structure and payout policy to recommend financing strategies.
  4. Build and communicate spreadsheet financial models and managerial recommendations clearly to executives.
  5. Assess ethical and governance issues in corporate finance, including agency conflicts and responsible financial disclosure.
FIN 5310

Investment Analysis and Portfolio Management

3 credits · 3 lecture per week · On campus, Online

Examines how investors select securities and construct portfolios. Topics include risk and return, mean-variance optimization, asset pricing models, market efficiency, equity and fixed-income analysis, performance evaluation, behavioural finance, and the role of derivatives and alternative investments. Students construct and evaluate portfolios using real market data and software, write an investment policy statement and compare active and passive strategies. The course addresses fiduciary duty, professional ethics and responsible investing as integral parts of portfolio management.

Prerequisites
FIN 5300 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Apply modern portfolio theory and asset pricing models to construct and evaluate diversified portfolios.
  2. Analyze equity and fixed-income securities using quantitative methods and market data to form investment recommendations.
  3. Evaluate portfolio performance and test the implications of market efficiency and behavioural biases for active management.
  4. Develop an investment policy statement and portfolio proposal and communicate it persuasively to a client or investment committee.
  5. Assess fiduciary, ethical and sustainability considerations in investment management, including responsible investing.
FIN 5320

Financial Risk Management

3 credits · 3 lecture per week · On campus, Online

Studies how organizations identify, measure and manage financial risk. Topics include market, credit, liquidity and operational risk, value at risk, forwards, futures, swaps and options, hedging strategies, interest rate and foreign exchange risk, credit derivatives, enterprise risk management and regulatory frameworks. Students build quantitative risk models, price simple derivatives and design hedging programs for case companies. The course addresses lessons from financial crises, governance of risk, and the ethical responsibilities of risk managers.

Prerequisites
FIN 5300 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Identify and measure market, credit, liquidity and operational risks using appropriate quantitative techniques such as value at risk and stress testing.
  2. Price forwards, futures, swaps and options and explain their payoffs and use in hedging.
  3. Design hedging strategies for interest rate, currency and commodity exposures and evaluate their effectiveness and costs.
  4. Develop enterprise risk management frameworks and communicate risk reports to boards and regulators.
  5. Evaluate ethical, governance and systemic issues in risk management, drawing on lessons from financial crises.
MGT 5100

Organizational Behaviour and Leadership

3 credits · 3 lecture per week · On campus, Online

Examines how individuals, groups and organizations behave and how leaders shape performance. Topics include personality and perception, motivation, decision making, team dynamics, power and influence, conflict and negotiation, organizational culture, and leading change. Students analyze real organizational situations, assess their own leadership style through structured feedback, and practise evidence-based management skills. Emphasis is placed on ethical leadership, diversity and inclusion, and the application of behavioural research to practical problems facing managers in contemporary, often hybrid, workplaces.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Explain major theories of motivation, perception and group behaviour and their implications for managing individuals and teams in organizations.
  2. Analyze organizational cases to diagnose behavioural problems, using qualitative evidence and survey data to recommend managerial responses.
  3. Assess personal leadership style and develop a plan for improving interpersonal effectiveness, influence and conflict management.
  4. Evaluate the ethical and cultural dimensions of leadership decisions, including diversity, power and organizational justice.
  5. Communicate recommendations on organizational change clearly and persuasively in written and oral formats to executive audiences.
MGT 5110

Managerial Economics

3 credits · 3 lecture per week · On campus, Online

Applies microeconomic reasoning to managerial decisions. Topics include demand estimation and forecasting, production and cost analysis, pricing in competitive and imperfectly competitive markets, game theory, strategic interaction, asymmetric information, and the economics of regulation and externalities. Students use spreadsheets and real data to estimate relationships and evaluate alternatives, and they connect economic analysis to decisions about pricing, capacity, investment and competitive response. Emphasis is on translating theory into clear recommendations for managers.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Apply core microeconomic concepts of demand, cost and market structure to managerial decisions on pricing, output and capacity.
  2. Estimate and interpret demand and cost relationships using spreadsheet-based regression and forecasting methods.
  3. Analyze strategic interactions using game theory to predict competitor responses and design commitments and pricing strategies.
  4. Evaluate the efficiency, equity and environmental consequences of market outcomes, externalities and regulation for managerial choices.
  5. Present economic analyses and recommendations concisely and persuasively to non-specialist managers and senior executives.
MGT 5120

Accounting for Managers

3 credits · 3 lecture per week · On campus, Online

Introduces financial and managerial accounting from the perspective of managers who use, rather than prepare, accounting information. Topics include the accounting equation and financial statements, revenue recognition, inventory and long-term assets, financial statement analysis, cost behaviour and cost-volume-profit analysis, budgeting, performance measurement, and internal controls. Students analyze company reports, build budgets and evaluate decisions using relevant costs. Ethical reporting, transparency and the limits of accounting numbers are discussed throughout, with reference to current standards.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Prepare and interpret the main financial statements and explain how business transactions and accounting policies affect reported results.
  2. Analyze a company's performance and financial position using ratio analysis and cash flow evidence to support managerial and investment judgments.
  3. Apply cost behaviour, cost-volume-profit and relevant-cost analysis to pricing, product and outsourcing decisions.
  4. Design budgets and performance measures that align operational decisions with organizational goals.
  5. Evaluate ethical, legal and governance issues in financial reporting and internal control, and explain accounting findings to non-accountants.
MGT 5130

Marketing Management

3 credits · 3 lecture per week · On campus, Online

Explores how organizations create, communicate and deliver value to customers. Topics include consumer behaviour, market research, segmentation, targeting and positioning, product and brand management, pricing, distribution, integrated marketing communications, digital and social media marketing, and marketing metrics. Students analyze cases, interpret market data and develop a marketing plan for a real or simulated offering. Ethical and societal issues, including privacy, sustainability and responsible advertising, are considered as part of sound marketing practice.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Explain the core concepts of marketing management, including consumer behaviour, segmentation, targeting, positioning and the marketing mix.
  2. Analyze market research and marketing metrics to evaluate customer value, campaign performance and pricing alternatives.
  3. Develop an integrated marketing plan for a product or service, justifying positioning, channel and communication choices.
  4. Work in a team to build and present a marketing strategy, giving and receiving constructive critique.
  5. Assess ethical, legal and social issues in marketing practice such as privacy, targeting of vulnerable groups and sustainability claims.
MGT 5140

Strategic Management

3 credits · 3 lecture per week · On campus, Online

Examines how organizations achieve and sustain competitive advantage. Topics include industry and competitor analysis, resources and capabilities, business-level and corporate strategy, diversification, international strategy, mergers and alliances, strategy implementation, and strategic leadership. Students apply analytical frameworks to complex, real-world cases and integrate knowledge from organizational behaviour, economics and marketing. The course also addresses corporate governance, ethics and sustainability as elements of long-term value creation, and requires students to present reasoned strategic recommendations.

Prerequisites
MGT 5100 with a minimum grade of B-, MGT 5110 with a minimum grade of B-, and MGT 5130 with a minimum grade of B-.

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Integrate concepts from organizational behaviour, economics, accounting and marketing to assess an organization's strategic position.
  2. Analyze industries, competitors and firm performance using quantitative and qualitative evidence to identify strategic opportunities and threats.
  3. Evaluate business, corporate and international strategic alternatives, and recommend a course of action with an implementation plan.
  4. Assess the ethical, legal, social and environmental implications of strategic decisions, including governance and sustainability.
  5. Present and defend strategic recommendations persuasively in team reports and oral briefings to senior executives.
MGT 5900

Applied Management Project

3 credits · 3 lecture per week · On campus, Online

A capstone course in which students undertake an applied management project for an external organization or a rigorously defined internal case. Working with a faculty supervisor and an organizational sponsor, students scope a managerial problem, gather and analyze evidence, develop and test recommendations, and plan implementation. The course integrates learning from across the program and emphasizes project management, professional communication, ethical practice and reflective learning. Students deliver a written report, an executive presentation and a portfolio reflection.

Prerequisites
MGT 5140 with a minimum grade of B- (and at least 18 credits in the program).

Effective Sep 8, 2026 · Part of Master of Management

Course learning outcomes (5)
  1. Integrate knowledge from across the management disciplines to scope and frame a complex organizational problem with a client or sponsor.
  2. Analyze qualitative and quantitative evidence rigorously to develop and justify evidence-based recommendations.
  3. Lead a project and collaborate with sponsors and stakeholders, managing expectations, conflict and change.
  4. Communicate findings and recommendations professionally in a written report and an executive presentation.
  5. Evaluate the ethical, legal, social and environmental implications of project recommendations and reflect critically on professional growth.