The program's economics courses are very quantitative. Students who do well typically have a strong background in math (calculus, including multi-variate calculus, and linear algebra) and statistics, as well as intermediate microeconomic and macroeconomic theory courses. Math courses that emphasize logic and proofs (e.g. real analysis, abstract algebra, topology) are especially recommended for Ph.D. applicants.