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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 programme will have its administrative headquarters in Pavia, but classes will be held on all three campuses.
The programme 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 programme 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 at 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.
PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
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 programme will have its administrative headquarters in Pavia, but classes will be held on all three campuses.
The programme 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 programme 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 at 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.
PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH.
Admission Requirements
5.5+
72+
Applicants to the programme must hold an upper secondary school diploma or other qualification obtained abroad and recognized as suitable by the competent University boards. Other requirements include: English language proficiency at a B2 level or higher, in order to understand and participate in training activities; - Written comprehension, elementary logic, and reasoning skills; - Knowledge of the fundamentals of mathematics as provided by secondary school, with a focus on first- and second-degree algebraic equations, inequalities and systems, plane analytical geometry, trigonometry and exponential and logarithmic functions. The student's educational background will be assessed as set out by the programme's Academic Regulations. Any gaps must be filled within the first year of the programme, as set out by the aforementioned Regulations. This is a capped programme. For academic year 2025-2026, there are 180 available places, of which 50 are set aside for non-EU students residing abroad. Available spots are allocated based on a ranking which reflects admission test scores. The admission test for EU candidates (anywhere residing) and extra EU candidates regularly residing in Italy is English TOLC-I (https://www.cisiaonline.it/tolc/english-tolc-i/structure-and-syllabus). The admission test for extra EU candidates residing outside Italy is SAT (https://satsuite.collegeboard.org/sat/whats-on-the-test/structure) Please refer to the call for applications for information on selections and the test, including registration and deadlines. Candidates high enough in the ranking may be required to fulfil additional learning requirements (OFA) based on their score in the 'Mathematics' section of the test.
3 Years
Oct
Tuition fees
International
156 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Artificial Intelligence
University of Milan, Milano, Italy
36 monthsProgramme duration
156 EURTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
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 programme will have its administrative headquarters in Pavia, but classes will be held on all three campuses.
The programme 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 programme 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 at 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.
PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
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 programme will have its administrative headquarters in Pavia, but classes will be held on all three campuses.
The programme 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 programme 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 at 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.
PLEASE NOTE THAT THIS PROGRAMME IS ENTIRELY TAUGHT IN ENGLISH.
Admission Requirements
English language proficiency at a B2 level or higher, in order to understand and participate in training activities; - Written comprehension, elementary logic, and reasoning skills; - Knowledge of the fundamentals of mathematics as provided by secondary school, with a focus on first- and second-degree algebraic equations, inequalities and systems, plane analytical geometry, trigonometry and exponential and logarithmic functions.
The student's educational background will be assessed as set out by the programme's Academic Regulations. Any gaps must be filled within the first year of the programme, as set out by the aforementioned Regulations.
This is a capped programme. For academic year 2025-2026, there are 180 available places, of which 50 are set aside for non-EU students residing abroad. Available spots are allocated based on a ranking which reflects admission test scores. The admission test for EU candidates (anywhere residing) and extra EU candidates regularly residing in Italy is English TOLC-I (https://www.cisiaonline.it/tolc/english-tolc-i/structure-and-syllabus). The admission test for extra EU candidates residing outside Italy is SAT (https://satsuite.collegeboard.org/sat/whats-on-the-test/structure)
Please refer to the call for applications for information on selections and the test, including registration and deadlines.
Candidates high enough in the ranking may be required to fulfil additional learning requirements (OFA) based on their score in the 'Mathematics' section of the test.
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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