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Message from the Associate Chair

Welcome to the undergraduate Economics website for prospective and current students. On these pages, you will find information about our programs and courses, as well as other useful resources and links. Read more...

Why economics?

Wondering why to choose an economics program? We asked some of our students.

In the News

2021–21 Undergraduate Awards for Academic Excellence

On December 2, we were thrilled to fete our award winners.

Special Topics Courses: Fall 2021 & Winter 2022

Scheduling information is available on the Arts & Science Timetable.

ECO351H1F/S L0101 - Special Topics in Economics: Principles of Fair Decisions

How can we combine the well-being of individuals into a concept of societal well-being? What does it mean to balance conflicting interests fairly? We explore these and related ethical questions from the perspective of economic theory. By featuring the axiomatic approach as a central tool, we seek to develop fairness principles that are applicable across diverse situations. Possible topics include: Arrow's impossibility theorem, the Nash bargaining problem, foundations of utilitarianism and egalitarianism, fair division, measurement of inequality, intergenerational equity, and population ethics.


ECO421H1F L0101 and L0201 - Special Topics in Economics: Macroeconomic Finance (with machine learning applications)

This course is an introductory course to different concepts and techniques related to Machine Learning, focusing mainly on Macro-finance applications. In the first part of the course, we will review supervised and unsupervised learning methods. In the second part, we will discuss various macro-finance concepts, where the use of Machine Learning is more and more common. Therefore, the course's objective is to provide students with the basics of machine learning for them to be able to solve certain economic problems using these techniques and be prepared for more advanced machine learning courses.

Prerequisites: ECO200Y1/ECO204Y1/ECO206Y1, ECO202Y1/ECO208Y1/ECO209Y1, ECO220Y1/ ECO227Y1/ (STA237H1, STA238H1)/ (STA247H1, STA248H1)/ (STA257H1, STA261H1), at least 1.0 credit in ECO at the 300+ level.

ECO422H1S L0101 - Special Topics in Economics: Competition Policy

The primary objective of this course is to provide a systematic analysis of economic issues in competition policy. This will include analysis of economic theory of antitrust as well as applications in policy documents and cases.

Prerequisites:ECO200Y1/ECO204Y1/ECO206Y1, ECO220Y1/ ECO227Y1/ (STA237H1, STA238H1)/ (STA247H1, STA248H1)/ (STA257H1, STA261H1), at least 1.0 credit in ECO at the 300+ level.

ECO422H1S L0201 and L0301 - Special Topics in Economics: Health and Economic Inequality

This course surveys the relationship between health outcomes and economic outcomes. We pay particular attention to exploring the bidirectional causal relationship between the two: poor health can lead to poor economic outcomes, while economic insecurity can have serious health implications. Specific topics vary by year, and may include: the economics of the COVID-19 pandemic, sources of racial and sociodemographic inequalities in health, and public policies insuring the economic risks of poor health.

Prerequisites: ECO200Y1/ECO204Y1/ECO206Y1, ECO220Y1/ ECO227Y1/ (STA237H1, STA238H1)/ (STA247H1, STA248H1)/ (STA257H1, STA261H1), at least 1.0 credit in ECO at the 300+ level.

Course Match

We are offering pre-enrolment for some 400-level ECO courses for Fall-Winter 2022-23, for fourth-year students who have not yet fulfilled the 400-level Economics program requirement.   The purpose of this pre-enrolment process is to ensure that students who require one or two 400-level courses for program completion are better able to enrol in a course.   If you qualify for Course Match, you will receive an email from the Undergraduate Office in early June.  For more information, see Economics: Course Match.

Focus in Data Analytics: Major or Specialist

Starting 2020–2021, students will be able to add the Focus in Data Analytics to the Economics Major or Specialist program. The focus ensures that students gain proficiency in applied empirical economics. It provides students with hands-on exposure to the tools empirical economists use to build and analyze datasets - programming languages such as Python, and software programs to manage, statistically analyze, and visualize data such as Excel, GIS, Stata and R. The focus will also direct students to empirical economics courses that apply these tools in a wide variety of contexts. Please see the Focus in Data Analytics (Major) or Focus in Data Analytics (Specialist) typical pathway handout for highlights and refer to the Calendar for details.