Milan, Italy
DEGREE TYPE
Bachelor's degree
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 Jul 2025
EARLIEST START DATE
Oct 2025
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Key Summary
Introduction
The program is an inter-university course organized by 3 Italian Universities of excellence (the University of Milan La Statale, the University of Pavia, and the University of Milan-Bicocca). Taught in English, it trains experts in the theoretical foundations, techniques, methodologies, and applications of AI, promoting technological innovation and fostering the economic and social development of our country. The teaching activity takes various forms, including lectures, seminars, and laboratories.
The New Bachelor of Science in Artificial Intelligence is an international and inter-university project of the Universities of Milano-Bicocca, Milano Statale, and Pavia. Taught entirely in English, the program will have its administrative headquarters in Pavia, but classes will be held on all three campuses.
The program trains experts in the theoretical foundations, techniques, methodologies, and applications of artificial intelligence, in order to contribute to the diffusion and advancement of knowledge and skills on this subject and its applications, thus promoting technological innovation and fostering the economic and social development of our country. Graduates of the Artificial Intelligence program will have highly interdisciplinary knowledge and skills.
They will have received solid training in the fundamentals of some areas of computer science:
- mathematics;
- physics;
- statistics and cognitive sciences, with a focus on the theoretical bases and techniques of artificial intelligence.
They will also have ethical and legal training as required to understand the constraints that limit a socially acceptable use of these techniques.
In the final phase of training, students will have the opportunity to hone certain subjects of their choice, based on their personal goals, and learn how to apply artificial intelligence to specific areas, such as communication, automation and robotics, cognitive sciences, and physics technologies.
Gallery
Admissions
Scholarships and Funding
EDiSU Pavia (Ente per il Diritto allo Studio Universitario) is an Agency for the Right to Higher Education that was established by the University of Pavia and is under its direct control.
In order to apply for the EDiSU Pavia scholarship, students have to meet some merit-based and income-based requirements.
All EU and non-EU students, wherever geographically located (on-site, commuting, and off-site), can request the benefits.
For off-site students, the scholarship can consist of:
- Option 1) Accommodation in a Residence (“Collegio”) + one meal per day at the canteens + an amount of money
- Option 2) One meal per day at the canteens + an amount of money doubled compared to the previous option
Curriculum
The course focuses on contents that allow one to understand the theoretical bases and techniques of Artificial Intelligence, providing fundamentals of Computer Science, Mathematics, Physics, Statistics, Cognitive Sciences, and also Law and Ethics, which is essential for understanding the constraints that limit the socially acceptable use of these new tools.
First Year
- Computational logic
- Experimental physics for AI
- Computer programming, algorithms, and data structures
- Knowledge representation and reasoning
- Calculus
- Theoretical and computational linear algebra
- Cognitive psychology
Second Year
- Ethics, law, and AI
- Machine learning, artificial neural networks, and deep learning
- Probability and statistical inference
- Theoretical and Quantum Physics for AI
- Fuzzy systems and evolutionary computing
- Text mining and natural language processing
Third Year
- Statistical modeling
- Brain modeling
- Chosen Track courses
- Electives
- Stage (or laboratories)
- Final exam
Tracks
Track 1 - Data analysis, communication and marketing
- Data mining and knowledge extraction
- Information retrieval and recommender systems
- Web and social network search and analysis
- Artificial intelligence for communication and marketing
Track 2 - Industrial systems and healthcare
- Medical applications and healthcare
- Human-system interaction
- Signal and image processing
- Process control, industrial automation, and robotics
Track 3 - Brain, cognition and society
- Brain-inspired Neural Networks and Neural Architectures
- Human-system interaction
- Logic for Practical Reasoning and Artificial Intelligence
- Artificial Intelligence and Society
Track 4 - Physics for AI: environment, health and quantum information
- Experimental Physics for AI 2
- Mathematics for Imaging and Signal Processing
- Imaging and Spectroscopy for Environment and Health
- Materials and Platforms for Artificial Intelligence
During the second semester of the third year, students can choose between a stage or three of the following laboratories:
Laboratories
- Laboratory of Machine Learning
- Laboratory of Computational Intelligence
- Laboratory of machine learning applied to physical systems
- Laboratory of Industrial Applications
- Laboratory of medical devices and systems
- Laboratory of cognitive and behavioral measures
- Laboratory of neural signals and brain-inspired systems
- Laboratory of complex systems
- Laboratory of quantum information
- Laboratory of Physics sensors and related data analysis
Program Tuition Fee
Career Opportunities
Professional Profiles
- Expert in Artificial Intelligence applied to data analysis and knowledge management in communication and marketing: design, development, and management of IT systems and applications for data analysis and knowledge extraction to support informed decisions, especially in the fields of communication and marketing, or related fields
- Expert in Artificial Intelligence applied to intelligent embedded systems and manufacturing processes: design, implementation, and management of artificial intelligence in information systems for industrial manufacturing and environmental applications, as well as for intelligent embedded systems (e.g. consumer electronics, automotive, transportation, energy, medical systems, and medical prostheses)
- Expert in Artificial Intelligence applied to bio-inspired algorithms and human-environment interaction systems: collection, processing, classification, and recognition of multimodal data for the management of Medicine-ICT interfaces and interfaces between brain activity and various medical devices, mechanical and support systems (e.g. computers, exoskeletons, movement aids), and human-environment interaction systems
- Expert in Artificial Intelligence applied to mathematical models and physical technologies: use and optimization of measurement or laboratory instruments, sensors, and complex physical systems; development of intelligent software integrated with device/equipment hardware; data and image quality analysis and improvement, understanding of their statistical properties; development of algorithms and mathematical models
Career Opportunities
- Graduates can find employment in both the private and public sectors in small and medium-sized innovative companies, large industrial players, environment and space monitoring and management institutions, scientific institutes for research, hospitalization, and healthcare (IRCCS), hospitals and research centres, R&D departments of ICT industries, manufacturing and service companies, public administrations operating in the industrial, environmental and health sectors
- They can work with consultancy and service firms on the development of artificial intelligence tools in the fields of healthcare, banking and credit, engineering and sensors, marketing, insurance, logistics and transport, telecommunications, and media