The tables below present the structure of the course as defined by regulation. For contents in detail please see:
- the Course offer (Manifesto degli studi) for each Academic Year
- the Syllabus of each course for the current Academic Year
Further information are also available on the Student handbook (in Italian only).
First year
Course | Credits (ECTS) |
---|---|
Statistical Methods | 6 |
Statistics for Data Science
|
12 |
Big Data Technologies and Visualization
|
12 |
Introduction to machine learning | 6 |
Computational Social Science | 6 |
One course among
|
3 |
Course | Credits (ECTS) |
---|---|
Data Mining | 6 |
Two courses among
|
12 |
Course | Credits (ECTS) |
---|---|
Scientific programming
|
12 |
One course among
|
6 |
Second year
Course | credits (ECTS) |
---|---|
One course from Table 1 - Domain knowledge courses | 6 |
Two courses from Table 2 - Laboratories | 12 |
Free choice courses | 12 |
Internship | 9 |
Final exam | 18 |
Course | Credits (ECTS) |
---|---|
Advanced social networks analysis | 6 |
Behavioural Economics | 8 |
Computational Linguistics | 6 |
Enterprise information system | 6 |
Introduction to Computer and Network Security | 6 |
Machine learning | 6 |
Machine Learning for NLP | 6 |
Neuroimaging for Data Science | 6 |
Research Methodology - Quantitative | 6 |
Statistics of Stochastic Processes | 6 |
Visual brain and design | 6 |
Course | Credits (ECTS) |
---|---|
Digital Epidemiology | 6 |
Digital social data | 6 |
Geospatial analysis and representation for data science | 6 |
Laboratory of Customer and Business Analytics | 6 |
Machine Learning for NLP II | 6 |
Social Dynamics Lab | 6 |
Studies on human behaviour | 6 |
Bio-Inspired Artificial Intelligence | 6 |
Deep Learning Lab | 6 |
Laboratory of Internet of Things | 6 |
Fundamental Hands on Functional Neuroimaging Analysis | 6 |
High Performance Computing for Data Science | 6 |
Knowledge Graph Engineering | 6 |
Network-Based Data Analysis | 6 |
Performance analysis and business analytics | 6 |