DATA SCIENCE AND ECONOMETRICS TRACK
Students must take 6 elective courses, 6 credits each, for a total of 36 credits. Electives can be chosen starting from the second semester of the 1st year.
Data Science and Econometrics Track
Students choose three courses from:
- Big Data Analysis for Economics and Finance - Alessio Farcomeni - Autumn semester, 2nd module
- Microeconometrics - Federico Belotti - Spring semester, 1st module
- High-Dimensional Methods for Dependent Data in Economics and Finance - (Spring semester, 2nd module)
Students choose one course from:
- Causal Inference - Tiziano Arduini - Autumn semester, 2nd module
- Financial Econometrics (LM Finance & Banking) - Tommaso Proietti - Spring Semester, 2nd module
Students choose two courses from all others not previously chosen.