This course provides MA and MFE students with a review of key mathematical and statistical techniques for master's level coursework. The math portion focuses on constrained and unconstrained static optimization, the envelope theorem, and matrix algebra. The statistics portion focuses on probability theory, random variables, probability and cumulative distribution functions, central limit theorems, and regression analysis. To pass the course, students must pass 3 tests given at the end of each week.