FINC 7210X

About this course

45 hours; 3 credits This course introduces students to data science for financial applications using an analytic programming language (e.g., Python and R) and its ecosystem of packages. In this course, students investigate a variety of empirical questions from different areas within finance, including FinTech, asset management, corporate finance, corporate governance, venture capital, and private equity. The course highlights how big data and data analytics are shaping the way finance is practiced by focusing on problems currently confronting finance professionals. The course mixes standard lecture, examples, cases, and guest lectures. Students are expected to work in teams and demonstrate a high level of independent learning and initiative. Prerequisite: One undergraduate course in mathematics and one undergraduate course in statistics or equivalent