Undegraduate School
Viale Romania, 32
00197 Rome
T 06 85225310
didactics@luiss.it
For information about admission
ammissione@luiss.it
Computer Science Professor at Luiss since 2020. Research interests on big data analytics, working at the intersection of programming languages and algorithmics. Associate Editor of ACM JEA, Data, steering and PC member of major conferences, winner of distinguished and best paper awards. Enjoy teaching.
Caratteristiche del Corso
Il corso unisce competenze manageriali e quantitative a una profonda conoscenza delle tecnologie digitali più avanzate. Attraverso un curriculum interdisciplinare, che integra discipline STEM, scienze economiche e gestionali, il programma è progettato per formare leader innovativi, capaci di navigare con successo in un panorama tecnologico in continua evoluzione. L’ambiente di apprendimento valorizza l'uso pratico delle tecnologie digitali, dal machine learning all'intelligenza artificiale, per sviluppare soluzioni innovative ai problemi aziendali moderni. Il corso si concentra sull'uso delle tecnologie informatiche per ottimizzare le operazioni aziendali, migliorare le decisioni strategiche e potenziare le performance complessive delle organizzazioni.
Study Plan
I year 2024/2025
| COURSE | CFU |
|---|---|
|
|
8 |
|
|
6 |
|
|
8 |
|
Principles of Accounting
|
8 |
|
Statistical Modeling |
8 |
|
|
8 |
|
Legal System in the Digital Age |
6 |
|
Microeconomics |
8 |
II year 2025/2026
| COURSE | CFU |
|---|---|
|
Grand Challenge |
4 |
|
|
8 |
|
|
6 |
|
Data, AI and Organizations
|
8 |
|
Data analysis for Business |
8 |
|
Macroeconomics |
8 |
|
Artificial Intelligence Techniques |
8 |
|
Social Network Analysis |
8 |
III year 2027/2028
| COURSE | CFU |
|---|---|
|
Business and Marketing Analytics |
8 |
|
Finance and Financial Technologies |
8 |
| AI and Data Management Law | 6 |
| Databases & Big Data | 8 |
Additional Credits
| Activities | CFU |
|---|---|
| 3 elective courses | 18 |
| GAP 1 | 2 |
| GAP 2 | 2 |
| Mandatory language | 4 |
| Other Activities | 4 |
| Final Thesis | 4 |
| Total CFU | 180 |
The course is subject to approval from the Italian Ministry of University and the study plan could change.
Job Opportunities
The programme enables graduates to work in various technology companies, AI consultancies, and governmental or non-profit organizations focusing on AI. Graduates will be well-equipped to apply for the following job positions:
- Junior roles such as AI Analyst, Machine Learning Engineer, or AI Project Coordinator in tech companies and AI-focused organizations;
- AI and tech management consulting;
- Entrepreneurial ventures in AI start-ups or innovation departments;
- AI strategist or analyst roles in private institutions and government organizations;
- Higher academic qualifications (master’s degree or postgraduate diploma in AI or Data Science and Management).
This programme propels you to the forefront of the AI industry, equipping you with both technical and managerial skills essential in the evolving landscape of artificial intelligence.
Luiss provides financial support to students by offering scholarships and exemptions from the annual fee
Luiss residences are available, as well as other types of accommodation.
