The Focus in Data Analytics (major) 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.
Enrolment in the Economics Major program (ASMAJ1478) is required.
- CSC108H1/ CSC148H1
- ECO225H1/ GGR272H1
- 1.0 credit of 300+ ECO elective courses from: ECO310H1, ECO324H1, ECO334H1, ECO336H1, ECO337H1, ECO339H1, ECO340H1, ECO374H1, ECO375H1, ECO380H1
- At least 0.5 credit 400-level ECO course from: ECO401H1, ECO403H1, ECO404H1, ECO418H1, ECO439H1, ECO446H1, ECO464H1, ECO466H1, ECO475H1, ECO499H1
Special Topics courses may count towards completion requirements as indicated on the department's website.