Luogo di studio	Italia, Milan
Settore accademico	Data management (JACS I260)
Tipo	Master, full-time
Durata nominale	2 years (120 ECTS)
Lingua di studio	inglese
Codice del corso	FDS01Q

Tassa scolastica	The balance fee amount is based on the chosen course and the student’s country of income. See the fees and funding page for details.
Tassa di iscrizione	30 € una tantum
Deposito	156 € una tantum

Qualifiche di accesso

Bachelor diploma (or higher) Open access with entry requirements. Fulfilment of the curricular requirements will be assessed by the Evaluation Committee. I documenti di studio sono accettati nelle seguenti lingue: inglese / italiano. Se la tua scuola non rilascia i documenti nelle lingue accettate dovrai allegare una traduzione ufficiale insieme alle copie certificate dell’originale. È necessario portare con sé i documenti delle qualifiche di ingresso al momento dell’arrivo all’università.

Requisiti linguistici	inglese English: B2 level knowledge is required. [url]www.unimib.it/sites/default/files/2024-11/Certificazioni_INGLESE_ott2023_UNIMIB.pdf [/url]

Maggiori informazioni	elearning.unimib.it/..egoryid=9172&lang=en

Panoramica

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 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.

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.

Struttura del programma

[url] elearning.unimib.it/course/view.php?id=46143 [/url]