Data Analytics in Finance. (3-0) 3 Credit Hours

Catalog description

Prerequisite: FIN 3013 or the equivalent, with a grade of "C-" or better, and one of the following: FIN 3603 , ECO 3123 , or MS 3073. This course will introduce students to data science for financial applications using the R or Python programming language. Topics may include a variety of empirical questions from different areas within finance, including FinTech, asset management, fixed income, derivatives, corporate finance, corporate governance, venture capital, and private equity. The course will highlight how big data and data analytics shape the way finance is practiced by focusing on problems currently confronting finance professionals. Prior experience with R or Python may be beneficial but is not required. This course has Differential Tuition. Course Fee: DL01 $75.