Financial Data Science

4 credits

Covers applications of statistical techniques for analyzing financial data, as well as modeling and computational methods in key areas in quantitative finance. Includes factor modeling, financial time series, and portfolio analytics. Focuses on advanced topics in statistical finance, finance theory, and financial applications. Prerequisite: CFRM 501.