DATA SCIENCE 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 track
Students choose one:
- Microeconomics II - Juha Tolvanen - Spring semester, I module
Students choose four:
- Statistical Learning (LM EEBL) - Tommaso Proietti - Autumn semester, I module
- Fundamentals of Data Management - Autumn Semester, I module
- Big Data Analysis for Economics and Finance - Alessio Farcomeni- Autumn semester, II module
- Microeconometrics - Federico Belotti- Spring semester, I module
Students choose one:
- Causal Inference - Tiziano Arduini - Autmn semester, II module
- Time Series - Alessandro Casini - Spring Semester, I module