Master's Degree Programme in
Data Analytics for Business and Society
Enrolment from 2025/2026

Data Analytics for Business and Society [EMR14-2525]
Enrolled in a.y. 2025/2026

Type of activities Description  
Basic [A] Builds the fundamental cultural foundation upon which your specific training is developed  
Core educational activities [B] Defines your educational path's specific and distinctive profile  
Interdisciplinary [C] Complements and broadens your core and specialisation training with supplementary knowledge  
Decided by individual student [D] Activities you can choose freely, provided they are consistent with your academic path. These may include: exams offered by your degree programme, exams from other degree programmes, including those from different disciplines, internship or traineeship activities  
Final examination or foreign language knowledge [E] it marks the completion of your academic programme. It is a crucial formative moment that integrates and applies the skills and knowledge you have acquired with your studies  
Other [F] Includes educational activities aimed at acquiring: additional language skills, IT and interpersonal skills, training and orientation internships, which are essential for facilitating your entry into the job market  

Type of educational activity: Core educational activities [B]
ECTS partial Code Reference sector Year COURSE ECTS course

24

 EM1404 INF/01 1 COMPUTER PROGRAMMING AND DATA MANAGEMENT 12
EM1405 ING‑INF/05 1 DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE 12
ECTS partial Code Reference sector Year COURSE ECTS course

24

 EM1406 SECS‑P/07 1 DIGITAL BUSINESS MODELLING 6
EM1407 MAT/09 1 MANAGERIAL DECISION MAKING AND MODELLING 6
EM1401 SECS‑S/01 1 STATISTICAL LEARNING FOR DATA SCIENCE 12
ECTS partial Code Reference sector Year COURSE ECTS course

12

 EM1403 IUS/01 1 DATA PROTECTION REGULATION 6
EM1402 SECS‑P/01 1 ECONOMICS OF RISK AND AGENT BEHAVIOUR 6
Type of educational activity: Interdisciplinary [C]
ECTS partial Code Reference sector Year COURSE ECTS course

almeno 12 CFU da scegliere all'interno del ""percorso"" Business Application

 EM1409 SECS‑P/09 2 BIG DATA IN CORPORATE FINANCE AND BANKING 6
EM1410 SECS‑S/03 1 BUSINESS ANALYTICS 6
EM1411 SECS‑P/10 2 DIGITAL HR AND ORGANISATION 6
EM1423 SECS‑P/08 2 MARKETING INTELLIGENCE AND ANALYTICS 6

"almeno 12 CFU da scegliere all'interno del ""percorso"" Fintech and Bigtech "

 EM2091 SECS‑S/06 2 FINTECH: TECHNOLOGY FOR FINANCE AND INSURANCE 6
EM1413 SECS‑S/05 1 HEALTH DATA SCIENCE 6
EM1414 SECS‑P/02 2 MODELS AND TECHNOLOGY FOR THE FINANCIAL INDUSTRY 6
EM1415 SECS‑P/05 2 PREDICTIVE BUSINESS AND FINANCE 6
Type of educational activity: Decided by individual student [D]

Students can either select these 12 ECTS credits from the groups of choice they have not selected from yet, or they can choose from the following.

ECTS partial Code Reference sector Year COURSE ECTS course

12

 EM1416 SECS‑P/07 2 ACCOUNTING INFORMATION SYSTEMS AND FINANCIAL ANALYTICS 6
EM1418 SECS‑P/08 2 DATA DRIVEN COMPETITIVE STRATEGY AND TECHNOLOGY ANALYSIS 6
EM2094 IUS/05 2 FINTECH REGULATION AND FINANCIAL INNOVATION 6
EM1422 SECS‑P/05 2 NETWORK ANALYSIS 6
EM1420 SECS‑P/03 2 POLICY EVALUATION 6
EM1421 INF/01 2 SOCIAL MEDIA AND WEB ANALYTICS 6
Type of educational activity: Final examination or foreign language knowledge [E]
ECTS partial Code Reference sector Year COURSE ECTS course

18

 EM0018 PROFIN_S 2 THESIS 18
Type of educational activity: Other [F]
ECTS partial Code Reference sector Year COURSE ECTS course

6

 EM0103 NN 2 INTERNSHIP 3
EM0106 NN 2 INTERNSHIP 6