Overview

Why Artificial Intelligence at The University of Milan?

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.

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, 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.

Programme Structure

Courses include:

Artificial Intelligence
Data Analysis

Embedded Systems
Intelligent Manufacturing Processes

Mathematical Models and Physical Technologies

Key information

Duration

Full-time
- 36 months

Start dates & application deadlines

Starting 2026-10-01 00:00:00
- Apply before 2026-05-18 00:00:00 , International

Language

English

Credits

180 ECTS

Delivered

On Campus

Campus Location

Milano, Italy

Disciplines

Artificial Intelligence View 5 other Bachelors in Artificial Intelligence in Italy

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

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.

The admission test is English TOLC-I

Please refer to the call for applications for information on selections and the test, including registration and deadlines.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

312 EUR / year

≈ 312 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

312 EUR / year

≈ 312 EUR / year

Additional Details

First instalment: 156 EUR per semester
Second instalment: varies according to ISEE University value, degree program and student status

Living costs

Milano

Italy

850 - 1450 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Artificial Intelligence.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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