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
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
The Graduates have methodological tools and technical skills suited to play the role of Data analyst and Business analyst and, in general, to contribute to companies and institutions operating in a data-driven framework.
Graduates will also have suitable knowledge for pursuing PhD programs in subject areas related to Statistics and Data Science.
Programme dates
For reference: classes for the academic year 2022/23 started on September 19th, 2022.
Find here the calendar of the Faculty of Economics for the academic year 2022/23.
Delivery mode
Learning Italian
In addition, SELDA organizes fee-paying Italian language courses, for more information contact SELDA from the dedicated iCatt function (in the homepage, box “request for information”).