TAF - Master's Degree

The Study Plan is based on five types of educational activities (TAF), each associated with a specific number of credits (CFU).

The total credits required to complete the programme is at least 120 CFU.

The educational activities in the programme include:

• TAF B: Specialist educational activities
• TAF C: Related and supplementary educational activities
• TAF D: Activities independently chosen by the student, provided they align with the overall educational objectives
• TAF E: Activities related to the final assessment
• TAF F: Additional educational activities aimed at enhancing language skills, as well as IT and telematics skills, interpersonal abilities, or other competencies useful for entering the job market, including placements, internships, or training with external organisations

The Study Plan for your cohort, listing courses and other educational activities, is attached to the Teaching Regulations and can be viewed on the Study Plan page. Any prerequisites are specified in each cohort's study plan.

Courses under TAF B and C may be mandatory or optional. Optional courses (if available) must be indicated when completing the study plan.

Type F activities are varied and may include internships, placements, apprenticeships, or other recognised educational activities, provided that adequate documentation is submitted. Please refer to the dedicated pages for further information.

In addition to these educational activities, students may add elective courses (TAF D) to their Study Plan to create a personalised academic path based on personal interests and future career goals.

All elective courses are activated on a yearly basis, so students are advised to check annually that their chosen courses are available. Courses included in future years of study that are subsequently not offered will need to be replaced by submitting a modification to the Study Plan.

Please note that while elective courses offered by the Programme are scheduled to avoid overlaps with mandatory courses, compatibility with the schedules of courses from other study programmes cannot be guaranteed. Students should check the relevant timetables if they are considering courses outside their programme.

Submit your Study Plan according to the procedures outlined on the dedicated pages, indicating the optional and elective courses of your choice.

The course is structured into 4 curricula, which must be chosen starting from the 1st year:

• Foundations of Artificial Intelligence and Machine Learning
  The curriculum trains graduates in modern Artificial Intelligence techniques, particularly Machine Learning techniques. Students will acquire statistical-modelling, machine learning, and classical artificial intelligence skills, as well as computational skills in intensive computing and advanced programming.
• Data Science and Artificial Intelligence for Industry and Cyber-Physical Systems
  The curriculum trains graduates to apply data science and artificial intelligence methods to industrial problems, particularly to the broad class of cyber-physical systems (e.g. IoT, automation). Students will acquire statistical-modelling and optimisation skills, machine learning and artificial intelligence skills, also applied to control problems, as well as computational skills in intensive computing and advanced programming.
• Data Science and Artificial Intelligence for Health and Life Sciences
  The curriculum trains graduates in building and applying data science and artificial intelligence methods to medical and biological problems, with particular reference to genomics, neuroscience, epidemiology, and biostatistics. Students will acquire statistical-modelling, machine learning, and artificial intelligence skills, as well as computational skills in intensive computing and advanced programming, alongside domain knowledge in life sciences and epidemiology.
• Data Science and Artificial Intelligence for Economy and Society
  The curriculum trains graduates in applying data science and artificial intelligence methods to economic and social problems. Students will acquire statistical-modelling, machine learning, and artificial intelligence skills, computational skills in intensive computing and advanced programming, and knowledge related to the application of these techniques in economic and social contexts.

Additional information on elective courses

The elective courses (TAF D) that can be included in your Study Plan include:

• courses activated annually and specifically developed for the educational objectives of the Study Programme
• courses from other Study Programmes within the University, as long as they are consistent with the student’s educational pathway

The courses that can be added to the Study Plan through the online procedure are automatically approved.