It’s a fascinating time to learn about artificial intelligence at the Kogod School of Business. With the recent unveiling of Kogod’s unprecedented framework for incorporating AI throughout its curriculum, students have new and ample opportunities to learn about this evolving technology and enter their careers with a better understanding of it.
However, these new courses, certificates, and training offerings won’t be Kogod’s first foray into this technology. This semester, finance professor Ali Sanati has been teaching a course designed to introduce students to how machine learning can best be utilized in financial contexts. Course FIN666, “Advanced Quant Methods and Machine Learning in Finance,” covers machine learning techniques in investments, financial forecasting, and beyond, focusing on practical applications and hands-on experience. As the semester winds down, we talked with Professor Sanati to learn more about the course, what Kogod students should expect when they sign up for it, and why an understanding of machine learning can put them ahead when applying for jobs.
Sanati: FIN666 is a graduate-level course designed to equip students with the latest quantitative methods and machine learning techniques applied in the finance sector. Throughout the course, students explore topics such as investments and asset allocation, time series analysis and forecasting, machine learning applications in finance, and causal inference methods.