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. The degree programme proposes a new track in Data Science.
Data Science track
Students choose one:
- Microeconomics II - Juha Tolvanen - II semester, I module
Students choose four:
- Statistical Learning (LM EEBL) - Tommaso Proietti - I semester, I module
- Big Data Analysis for Economics and Finance - Alessio Farcomeni- I semester, II module
- Causal Inference - Tiziano Arduini - I semester, II module
- Microeconometrics - Federico Belotti- II semester, I module
Students choose one:
- Curricular Internship
- Industrial Organization - Juha Tolvanen - I semester, II module
- Health Economics and Policy - Vincenzo Atella - I semester, I module
- Human capital, Migration and Development - Furio Camillo Rosati - I semester, I module
- Topics in Behavioural Macroeconomics - Robert James Waldmann - II semester, II module
- Environmental Economics and Policy - Alessio D'amato - II semester, I module
- International Economics - Luisa Corrado - II semester, I module
- Political Economy - Stefano Gagliarducci - II semester, I module
- Time Series - Alessandro Casini - II semester, I module
- Advanced Topics in Time Series - II semester, II module
1st Section Gianluca Cubadda
2nd Section Stefano Grassi