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
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 centers.
Programme dates
For reference: find here the calendar of the Faculty of Economics for the academic year 2023/24.
A Welcome event is usually organized by the Faculty in the week prior to the beginning of the courses; confirmation and details will be available in early August.
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”).