Study location	Italy, Milano
Academic field	Data management (JACS I260)
Type	Master, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Course code	FDS01Q

Tuition fee	€456 per year 1st inst. down payment: 156,00 € 1st inst. balance payment: 300,00 € Click here to check out the conditions for exemptions Click here for a further consultancy
Application fee	€30 one-time

Entry qualification

Bachelor diploma (or higher) Interview The entry qualification documents are accepted in the following languages: English / Italian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university.

Language requirements	English English B2 is required for the enrollment. The following certificates are accepted: www.unimib.it/sites/default/files/2023-11/Certificazioni_INGLESE_ott2023_UNIMIB_def.pdf

Other requirements	At least 1 reference(s) must be provided.

More information	unimib.it/graduate/data-science  elearning.unimib.it/..se/view.php?id=46143

Overview

The Master’s Degree in Data Science is part of the Class of Master Degrees in Information Society; it lasts two years and is awarded with 120 ECTS. Twelve exams are enivisaged, corresponding to 90 ECTS. Seven exams are held in the first year, and five exams in the second year. Remaining credits will be acquired in terms of a stage and the final thesis.

The master is freely accessible to graduate students, subject to having been previously earned 30 ETCS in Statistics, Computer Science, Mathematics, Physics.

The language of the master degree is English.

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 are coming from different scientific backgrounds, with advanced competences and skills required for the value-driven analysis of large amount of data (so called big data) using cutting-edge statistical techniques and computational models.

The degree is targeted to 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 in juridical, social and economic issues.

Programme structure

[url] elearning.unimib.it/pluginfile.php/1341408/course/section/222859/Regolamento%20didattico%20Data%20Science%20A.A.%202024-2025.pdf?time=1714737734028 [/url]