Master Degree in Data Science
Milan, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
02 May 2025
EARLIEST START DATE
15 Oct 2025
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Introduction
The Master’s Degree in Data Science is part of the Class of Master Degrees in Data Science; it lasts two years and is awarded with 120 ECTS. Twelve exams are envisaged, corresponding to 90 ECTS. Seven exams are held in the first year, and five exams in the second year. The remaining credits will be acquired in terms of a stage and the final thesis.
The master's is freely accessible to graduate students, subject to having previously earned 30 ETCS in Statistics, Computer Science, Mathematics, and Physics.
At the end of the period, a Master’s Degree in Data Science is earned. The goal of the degree is to provide graduate students, who come from different scientific backgrounds, with the advanced competencies and skills required for the value-driven analysis of large amounts of data (so-called big data) using cutting-edge statistical techniques and computational models.
The degree is targeted at graduate students who have a background in different scientific domains, ranging from Natural Sciences to Social Sciences and Economics. It is designed to have a solid basis in Statistics and Computer science but also a strong multidisciplinary characterization of juridical, social and economic issues.
Admissions
Scholarships and Funding
The University of Milano-Bicocca offers residences to students living away from home. Residences are offered according to the Right to Education principle to students who meet the requirements to obtain accommodation at a reduced price.
You can submit your application for a dorm place together with your application for the *Regional Right to study (DS) scholarship*. You will receive an email with detailed information on how to apply to the "Regional Right to Study (DS) scholarship": after successfully submitting your application for the selected program.
Curriculum
First year
- Data Management and Visualization
- Data Science Lab
- Data Semantics
- Financial Markets Analytics
- Foundations of Computer Science
- Foundations of Deep Learning
- Foundations of Probability and Statistics
- Green Computing
- Juridical and Social Issues in Information Society
- Machine Learning and Decision Models
- Marketing Analytics
- Statistical Modelling
Second year
- Business Intelligence and Big Data Analytics
- Cybersecurity for Data Science
- Data Science Lab in Biosciences
- Data Science Lab in Business and Marketing
- Data Science Lab in Environment and Physics
- Data Science Lab in Medicine
- Data Science Lab in Public Policies and Services
- Data Science Lab On Smart Cities
- Digital Signal and Image Management
- Economics for Data Science
- High Dimensional Data Analysis
- Natural Language Processing
- Service Science
- Social Media Analytics
- Streaming Data Management and Time Series Analysis
- Technological Infrastructures for Data Science
- Text Mining and Search
Program Tuition Fee
English Language Requirements
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