Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 451-DL : Financial Machine Learning
Description
This course introduces applications of machine learning techniques to finance. Financial data presents special challenges to standard machine learning techniques, engendering significant adaptations. Topics include a basic introduction to finance, nuances of financial features engineering, techniques to avoid various biases during model training, and example applications such as meta-labeling.
Recommended prior course: MSDS 413-DL Time Series Analysis and Forecasting.
Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning
*Prior to spring 2021, this course was titled Financial and Risk Analytics.
Winter 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
01/06/25 - 03/22/25 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Sanyal, Dipyaman | Online | Open |
Summer 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/23/25 - 08/30/25 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Sanyal, Dipyaman | Online | Open |