The bachelor degree in Artificial Intelligence and Data Analytics is structured in a single curriculum. The first two years are devoted to core courses. In the third year, instead, the students will have common courses and the possibility of choosing elective courses in their areas of interest.
Year I (60 CFU)
| Teaching (Italian) | Sector | TAF | CFU |
| Calculus I | MAT/05 | A | 9 |
| Linear Algebra with Elements of Geometry | MAT/03 | A | 6 |
| Introduction to Programming and Laboratory | INF/01 | A | 12 |
| English | E | 3 | |
| Calculus II | MAT/05 | A | 9 |
| Computer Architecture and Operating Systems | INF/01 | A | 6 |
| Probability Theory | MAT/06 | A | 6 |
| Introduction to Physics | FIS/01 | A | 9 |
Year II (60 CFU)
| Teaching (Italian) | Sector | TAF | CFU |
| Methods and Mathematical Models for Artificial Intelligence | MAT/05 | A | 6 |
| Databases | INF/01 | B | 9 |
| Statistical Inference | SECS-S/01 | C | 9 |
| Algorithms and Data Structures | INF/01 | B | 6 |
| Optimization Algorithms | MAT/09 | C | 6 |
| Computability, Complexity and Logic | INF/01 | B | 9 |
| Ethical, social, and legal aspects of Artificial Intelligence | M-FIL/03, SPS/07, IUS/01 | F | 3 |
| Data Analytics | SECS-S/01 | C | 6 |
| Numerical Analysis | MAT/08 | A | 6 |
Year III (60 CFU)
| Teaching (Italian) | Sector | TAF | CFU |
| Advanced and Parallel Programming | INF/01 | B | 9 |
| Introduction to Machine Learning (Part A) | INF/01 | B | 6 |
| Introduction to Machine Learning (Part B) | INF/01 | B | 9 |
| Introduction to Artificial Intelligence | INF/01 | B | 9 |
| Information Theory and Complex Systems (Part A) | FIS/02 | C | 6 |
| Information Theory and Complex Systems (Part B) | INF/01 | B | 6 |
| Exams chosen by the student | D | 12 | |
| Final Exam | 3 |