Program Name: University of Chicago Financial Mathematics Program
Program Description: The M.S. in Financial Mathematics at The University of Chicago is a 15 month program beginning each year in the autumn, with students graduating the following December. Classes are taught by leading academic researchers and industry professionals, and the curriculum includes courses in Algorithmic Trading, Options Pricing, Machine Learning, Artificial Intelligence, Risk Management, and Statistical Inference. Students gain real-world experience throughout the academic year by participating in Project Labs – collaborative quantitative research projects with firms throughout the world – and by completing summer internships. Stop by during the conference to learn more about our program and how we can connect you with students prepared to make a significant impact in the quant finance industry.
Key Contact: Alma Ceballos (almaceballos@uchicago.edu) and Emily Backe (ebacke@uchicago.edu)
Program Name: Master of Science in Financial Economics
Program Description: The Master of Science in Financial Economics is a two-year STEM-eligible program that provides students with the quantitative and theoretical tools for a successful career in finance, focusing on econometrics, empirical asset pricing, microeconomics, and machine learning. Students participate in a summer internship after their first year and recruit for roles in quantitative modeling, sales & trading, equity research, investment management, and economic consulting.
Key Contact: Amber Deister, Associate Director, MS Career Management, amber.deister@gsb.columbia.edu
