Regression and Time Series
MET AT 743
Prerequisites: MET MA 582, CAS MA 582 or consent of instructor. Can yesterday’s data really predict tomorrow’s market? Yes, if you have the right statistical models. You’ll unlock the predictive power of regression and time series analysis. Learn to build multiple regression models, analyze residuals, and tame messy data by addressing heteroscedasticity. Then, shift your focus to the future using time-series smoothing and linear models to forecast trends. Mastering this material helps you prepare for SoA Exam SRM.
FALL 2026 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Gangopadhyay | SOC B57 | T 6:00 pm-8:45 pm | This is a combined delivery course running alongside METAT 743 E2 |
FALL 2026 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| E2 | Gangopadhyay | ARR 12:00 am-12:00 am | This is a combined delivery course running alongside METAT 743 A1 |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.

