Curriculum
First year
- Mathematical methods and probability - 8 ECTS
- Statistical inference - 8 ECTS
- Applied linear models - 8 ECTS
- Computational statistics - 8 ECTS
- Database systems and computer programming - 8 ECTS
- Principles of management and tech law - 8 ECTS
- One elective course among: - 8 ECTS
- Bayesian modelling
- New venture development and data driven strategy
- Seminar on theological issues (in Y1 or Y2)
Second year
- Statistical learning - 8 ECTS
- Time series and spatial data analysis - 8 ECTS
- Advanced programming and deep learning for AI - 8 ECTS
- One elective course among: - 8 ECTS
- Stochastic processes and optimization for machine learning
- Financial markets and institutions
- One elective course among: - 8 ECTS
- Empirical economics
- Marketing analytics
- Data visualization and text mining
- Elective courses - 8 ECTS
- Thesis - 6 ECTS
Elective courses Read
- Internship / Research assistanship / Field project - 8 ECTS
- Causal methods for policy evaluation - 4 ECTS
- Strategic decision-making - 4 ECTS
- Strategic equity transactions - 4 ECTS
- Data-driven operations and supply chain management - 4 ECTS
- Logic, rationality and decisions - 4 ECTS
- Statistical methods for network data - 4 ECTS
- Experimental design - 4 ECTS
- Italian course - 4 ECTS
Notes Read
For instance, two broad study tracks are:
i) Data science method and
ii) Applied business analytics.
For track i) the recommended choices are:
- Bayesian modelling
- Stochastic processes and optimization for machine learning
- Empirical economics or Data visualization and text mining
For track ii) the recommended choices are:
- New venture development and data-driven strategy
- Financial markets and institutions
- Marketing analytics or Data visualization and text mining
Career opportunities
Graduates will master methods and tools to become Data scientist and Data analyst within data-driven companies across a variety of industries, such as manufacturing, services, finance, insurance, and consulting.
Suitable graduates may also pursue research-oriented careers enrolling in PhD programs in Statistics, Data Science or related areas, leading to jobs in academia as well as research centres.
Programme dates
The calendar of the Faculty of Economics for the academic year 2025/26 will be published here in July.
A Welcome event is usually organised by the Faculty in the week prior to the beginning of the courses; confirmation and details will be available in early August.