Artificial intelligence
The Degree Program in Artificial Intelligence aims to provide the theoretical foundations, techniques, methodologies, and applications of artificial intelligence. Its goal is to contribute to the dissemination and advancement of knowledge and skills in this discipline and its application areas, promoting technological innovation and supporting the economic and social development of the country. The objectives of the Degree Program in Artificial Intelligence are to understand the fundamentals of artificial intelligence and to use this knowledge in significant applications relevant to the workforce. The program is inter-university and is offered in English jointly with the University of Milan and the University of Milano-Bicocca.
Overview of the program
- CALCULUS 12 CFU - 108 hours Annual
- COGNITIVE PSYCHOLOGY 6 CFU - 48 hours 2nd semester
- COMPUTATIONAL LOGIC 6 CFU - 52 hours 1st semester
- COMPUTER PROGRAMMING, ALGORITHMS AND DATA STRUCTURES 12 CFU - 110 hours Annual
- EXPERIMENTAL PHYSICS FOR AI 6 CFU - 56 hours 1st semester
- KNOWLEDGE REPRESENTATION AND REASONING 12 CFU - 104 hours Annual
- THEORETICAL AND COMPUTATIONAL LINEAR ALGEBRA 6 CFU - 54 hours 2nd semester
- ETHICS, LAW AND AI 12 CFU - 96 hours
- FUZZY SYSTEMS AND EVOLUTIONARY COMPUTING 6 CFU - 56 hours
- MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING 12 CFU - 112 hours
- PROBABILITY AND STATISTICAL INFERENCE 12 CFU - 104 hours
- TEXT MINING AND NATURAL LANGUAGE PROCESSING 6 CFU - 56 hours
- THEORETICAL AND QUANTUM PHYSICS FOR AI 12 CFU - 112 hours
- BRAIN MODELLING 6 CFU - 52 hours
- FINAL EXAM 3 CFU - 75 hours
- STATISTICAL MODELLING 6 CFU - 56 hours
- ITALIAN LANGUAGE FOR FOREIGN STUDENTS 3 CFU - 24 hours
- LABORATORY OF COGNITIVE AND BEHAVIOURAL MEASURES 3 CFU - 36 hours
- LABORATORY OF COMPLEX SYSTEMS 3 CFU - 36 hours
- LABORATORY OF COMPUTATIONAL INTELLIGENCE 3 CFU - 36 hours
- LABORATORY OF MACHINE LEARNING 3 CFU - 36 hours
- LABORATORY OF MACHINE LEARNING FOR PHYSICS AND ASTRONOMY 3 CFU - 36 hours
- LABORATORY OF MEDICAL DEVICES AND SYSTEMS 3 CFU - 36 hours
- LABORATORY OF NEURAL SIGNALS AND BRAIN-INSPIRED SYSTEMS 3 CFU - 36 hours
- LABORATORY OF PHYSICS SENSORS AND RELATED DATA ANALYSIS 3 CFU - 36 hours
- LABORATORY OF QUANTUM INFORMATION 3 CFU - 36 hours
- PROJECT WORK 3 CFU - 36 hours
- STAGE 9 CFU - 225 hours
- STAGE 6 CFU - 150 hours
- ARTIFICIAL INTELLIGENCE FOR COMMUNICATION AND MARKETING 6 CFU - 56 hours
- DATA AND KNOWLEDGE BASES 6 CFU - 56 hours
- INFORMATION RETRIEVAL AND RECOMMENDER SYSTEMS 6 CFU - 56 hours
- WEB AND SOCIAL MEDIA SEARCH AND ANALYSIS 6 CFU - 56 hours
- DYNAMICAL SYSTEM FOR INDUSTRIAL AUTOMATION 6 CFU - 48 hours
- HUMAN-SYSTEM INTERACTION 6 CFU - 56 hours
- MEDICAL APPLICATION AND HEALTH-CARE 6 CFU - 48 hours
- SIGNAL AND IMAGE PROCESSING 6 CFU - 56 hours
- ARTIFICIAL INTELLIGENCE AND SOCIETY 6 CFU - 48 hours
- BRAIN-INSPIRED NEURAL NETWORKS AND NEURAL ARCHITECTURES 6 CFU - 56 hours
- HUMAN-SYSTEM INTERACTION 6 CFU - 56 hours
- LOGIC FOR PRACTICAL REASONING AND ARTIFICIAL INTELLIGENCE 6 CFU - 48 hours
- EXPERIMENTAL PHYSICS FOR AI 2 6 CFU - 56 hours
- IMAGING AND SPECTROSCOPY FOR ENVIRONMENT AND HEALTH 6 CFU - 56 hours
- MATERIALS AND PLATFORMS FOR ARTIFICIAL INTELLIGENCE 6 CFU - 56 hours
- MATHEMATICS FOR IMAGING AND SIGNAL PROCESSING 6 CFU - 56 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN - 12 ECTS 12 CFU - 96 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN - 3 ECTS 3 CFU - 24 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN - 6 ECTS 6 CFU - 48 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN - 9 ECTS 9 CFU - 72 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN BICOCCA - 12 ECTS 12 CFU - 96 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN BICOCCA - 3 ECTS 3 CFU - 24 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN BICOCCA - 6 ECTS 6 CFU - 48 hours
- FREE CHOICE COURSE UNIVERSITY OF MILAN BICOCCA - 9 ECTS 9 CFU - 72 hours
Educational goals
Career opportunities
Admission requirements
[versione italiana qui]
The degree in Artificial Intelligence (L-31) is an inter-university course in collaboration with the University of Milan Bicocca and the University of Milan Statale and it is entirely taught in English. Access to the course in Artificial Intelligence is limited (numerus clausus - restricted access) at local level.
All information relating to access to the degree course, the terms and procedures to be followed (under penalty of exclusion from enrollment) are duly stated in the annual announcement.
For information on application and step-by-step procedures for registration to the competition and enrollment please visit this page.
NOTE to the call for the admission to the 2nd and 3rd course year: currently there are NO available seats for Non-EU students residing abroad (who will need a study visa), available spots are in the quota for EU citizens anywhere residing and Non-EU students residing in Italy.
SECOND INTAKE
After all the positions in the ranking list for the first intake for EU candidates anywhere residing and non EU candidates residing in Italy have been processed, 39 places are still available.
The number of available places may vary due to withdrawals, changes of degree programme, reconsiderations, or admissions to subsequent years.
[versione italiana qui]