ItalyMaster's2 years
ARTIFICIAL INTELLIGENCE FOR SCIENCE AND TECHNOLOGY
Università degli Studi di MILANO-BICOCCA
Fee for international students
About €1,649 a year (as of 2026)Typical for this university, not this programme's own fee.Institution-level average tuition (paying); Italian fees are income-based (ISEE) so the per-student amount varies.Source: MUR institution tuition averages
- Intakes
- Not published
- Duration
- 2 years
Programme facts
- Level
- Master's
- Duration
- 2 years
- Language of teaching
- English
- Study mode
- full time
- Credits
- 120 ECTS
- Intakes
- Not published
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6 overall
- Prerequisites
- Bachelor diploma (or higher) Open access with entry requirements. Basic knowledge of Computer Science, Mathematics, Statistics and Physics is required. The following is therefore required possession of a total of at least 30 CFU s in the following academic disciplines: INF /01, ING - INF /05, ING - INF /03, MAT /01 to MAT /09, SECS -S/01 to SECS -S/06, FIS /01 to FIS /08. The interview will focus on ascertaining basic knowledge in Computer Science, Mathematics, Statistics and Physics. In particular, basic knowledge of the following subjects will be tested: • Computer Science: Programming, Algorithms, Data Structures, Artificial Intelligence; • Mathematics: Linear Algebra, Differential and Integral Calculus in one or more variables, Series, Numerical Series; • Statistics: Descriptive Statistics, Probability, Random Variables, Inference, Linear Model; • Physics: elements of Statics, Dynamics, Energy, Thermodynamics, Electromagnetism and Optics. I. Candidates meeting the curricular requirements (at least 30 CFU s in total in the following fields scientific disciplines INF /01, ING - INF /05, ING - INF /03, MAT /01 to MAT /09, SECS -S/01 to SECS -S/06, FIS /01 to FIS /08) are exempt from the interview if: • Hold a bachelor’s degree with a mark of 100/110 or higher, or with a average cumulative/comprehensive equal to or above 3.55 (on the scale of 0 to 4); OR: • Hold a master’s degree in one of the following classes: LM-17, LM-18, LM-21, LM-25, LM-27, LM-32, LM-35, LM-40, LM-44, L
Source: Universitaly/CINECA API
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