Guides to the university

2026-2027 A.Y.

Master of Science and Master of Arts Programs (2-y)



2.14.4. Program Structure for Students initially enrolled starting from the 2025-2026 Academic Year

The program structure of the Master of Science in Artificial Intelligence comprises educational activities for a total of 120 credit points.

During the period from 26 August - 1 September 2026 the students enrolled in the Master of Science in Artificial Intelligence (AI) program are required to choose from one of the following compulsory courses according to background:

  • Mathematical Methods in Computer Science; 
  • Analysis of Algorithms and Data Structures

In addition, in the first semester the Program Director will present the Turin Track. Complete information regarding specific details of the Turin Track (see paragraph 2.14.4.1.2. TURIN TRACK), application and selection methods will be communicated during the information session.

The program structure is valid for the students initially enrolled in the academic years of reference for this section.


First year of studies

 

First semester

 

Code

Educational activity

CP  

20871

AI Ethics seminar

2

20874

Algorithms for optimization and inference

8

20875

Software engineering

8

1 out of 2 bound choice courses:


20872 Mathematical methods in computer science


20873 Analysis of algorithms and data structures


 

8


8

 

Second semester

 

Code

Educational activity

CP

20878

Computer vision and image processing

8

20876

Deep learning and reinforcement learning

8

20877

Information theory

8

20879

Language technology

8

20880

Machine learning lab

2

Total CP of the first year of studies 

60

Last change 15/07/2026 15:52
2.14.4.1. Second year of studies

  


Last change 01/06/2026 08:00
2.14.4.1.1. Milan Track

 

Educational activity

CP

3 out of 4 bound choice courses (1st or 2nd sem):

20884 Bio-Informatics (1st semester)

20883 Complex systems and physical models (2nd semester)

20882 Computational neurosciences (1st semester)

20881 Cryptography and security (2nd semester)



6 

6 

6 

6

1 out of a short list* from Bocconi list (1st or 2nd sem): 

 

21050 Algorithmic decision-making (1st semester)

20729 Blockchain and crypto assets (1st semester)

21037 Computational approaches to climate change challenges (2nd semester)

21046 Data science and machine learning for finance (2nd semester)

20937 Introduction to partial differential equations (2nd semester)

20236 Time series analysis of economic-financial data (2nd semester)

6

6

6

6

6

6

1 elective course - 1st or 2nd semester (depending on student choice) that were not previously chosen

6

Language (lessons + exam 1st sem 2nd year)

4

Internship or similar activities

8

Thesis

18

Total CP of the second year of studies

60


Some highly-motivated and deserving MSc students will be allowed to include up to three PhD courses in their study plan. Of these, they can request recognition of 1 course in place of 1 course either in place of an MSc elective course indicated in the AI list, only if the scientific disciplinary sector of the PhD course is equal to the MATH-03A (former MAT/05), or in place of an elective course freely chosen. 2 courses can be recognized as MSc additional course

For detailed information on how to choose such courses, rules, administrative deadlines and recognition procedures see "Higher Level Courses".

It should be noted that, in compliance with the educational objectives of the Master of Science programs and the ministerial table related to the "LM - 18 Informatica" class, the program structure and offer of optional courses for the 2027-2028 a.y. may be subject to limited changes deliberated by the Academic Bodies.

Some opportunities to study abroad such as the Exchange Program lasting one semester are offered (see "International opportunities").

For detailed information on languages see "Languages".


Last change 17/07/2026 17:51
2.14.4.1.2. Turin Track

Educational activity

CP  

3 out of 4 bound choice courses (1st or 2nd sem):

20884 Bio-Informatics (1st semester - Bocconi)

20882 Computational neurosciences (1st semester - Bocconi)

20883 Complex systems and physical models (2nd semester - Turin*)

20881 Cryptography and security (2nd semester - Turin*)

 

6

6

6

6

1 out of 2 courses list (2nd sem):  

21078 Economics of uncertainty and mechanism design (2nd semester - Turin, with Turin University instructors*)

21079 Advanced statistical learning theory and conformal predictions (2nd semester - Turin, with Turin University instructors*)
 



6

6

1 elective course - 1st or 2nd semester (depending on student choice) that was not previously chosen

6

Language (lessons + exam 1st sem 2nd year)

4

Internship at the Italian Research Institute for Artificial Intelligence for Industrial Impact (AI4I) in Turin (2nd  semester)

8

Thesis research activities at Italian Research Institute for Artificial Intelligence for Industrial Impact AI4I in Turin (dissertation at Bocconi)

18

Total CP of the second year of studies

60

*Course with teaching held in Turin. The exam must be taken at Bocconi.

Some highly-motivated and deserving MSc students will be allowed to include up to three PhD courses in their study plan. Of these, they can request recognition of 1 course in place of an MSc elective course freely chosen; 2 courses can be recognized as MSc additional course. For detailed information on how to choose such courses, rules, administrative deadlines and recognition procedures see "Higher Level Courses".

It should be noted that, in compliance with the educational objectives of the Master of Science programs and the ministerial table related to the "LM - 18 Informatica" class, the program structure and offer of optional courses for the 2027-2028 a.y. may be subject to limited changes deliberated by the Academic Bodies.

Some opportunities to study abroad such as the Exchange Program lasting one semester are offered (see "International opportunities").

For detailed information on languages see "Languages".


Last change 20/07/2026 10:53


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