Data Science

University of Milano-Bicocca
Italia, Milano

Department of Informatics, Systems and Communication Italia, Milan

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

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. Admission to the Master’s Degree in Data Science for candidates with a degree obtained outside Italy are evaluated on the basis of the possession of specific curricular requirements and to the adequacy of personal preparation verified by an Evaluation Committee through an admission interview. In order to be shortlisted for the interview it is required to be in possession of the following requirements: a) Hold a GPA of at least 3 (on a scale 1-4) or higher. b) Have completed approximately 750 hours of academic work, including lectures, assignments, and individual study (30 ECTS for candidates with a EU degree) in the following academic disciplines: ● Computer Science; ● Computer Science and Engineering; ● Statistics; ● Mathematics, Operational Research; ● Physics. c) Have obtained or will obtain a first cycle or a second cycle degree belonging to one of the following disciplines: ● Computer Science; ● Information Technology Engineering; ● Statistics; ● Physics; ● Mathematics. Candidates who meet requirements specified in points A and B , but fail the requirement in point C can be shortlisted only if in their study plan they have passed at least one course in Statistics and one in Computer Science (or Computer Science and Engineering) for at least 150 hours of academic work for each course. In order to evaluate the profile, detailed study programs of specific exams can be required. Candidates failing to meet the basic entry requirements will not be shortlisted for the interview. During the admission interview, the Evaluation Committee may suggest to candidates the opportunity of attending in-depth disciplinary courses. 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.

Qualifiche di accesso

Bachelor diploma (or higher)

Open access with entry requirements.

Admission to the Master’s Degree in Data Science for candidates with a degree obtained outside Italy are evaluated on the basis of the possession of specific curricular requirements and to the adequacy of personal preparation verified by an Evaluation Committee through an admission interview.
In order to be shortlisted for the interview it is required to be in possession of the following requirements:

a) Hold a GPA of at least 3 (on a scale 1-4) or higher.

b) Have completed approximately 750 hours of academic work, including lectures, assignments, and individual study (30 ECTS for candidates with a EU degree) in the following academic disciplines:

● Computer Science;
● Computer Science and Engineering;
● Statistics;
● Mathematics, Operational Research;
● Physics.

c) Have obtained or will obtain a first cycle or a second cycle degree belonging to one of the following disciplines:

● Computer Science;
● Information Technology Engineering;
● Statistics;
● Physics;
● Mathematics.

Candidates who meet requirements specified in points A and B , but fail the requirement in point C can be shortlisted only if in their study plan they have passed at least one course in Statistics and one in Computer Science (or Computer Science and Engineering) for at least 150 hours of academic work for each course.
In order to evaluate the profile, detailed study programs of specific exams can be required.
Candidates failing to meet the basic entry requirements will not be shortlisted for the interview.
During the admission interview, the Evaluation Committee may suggest to candidates the opportunity of attending in-depth disciplinary courses.

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] If your previous degree was entirely taught in English or if English is your native language, you are exempt from submitting a separate language proficiency certificate. Countries where English is considered a native language include United States, the United Kingdom, Canada (excluding Quebec), Australia, New Zealand, Ireland, South Africa, and countries in the Caribbean where English is an official language.

Requisiti linguistici

inglese

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

If your previous degree was entirely taught in English or if English is your native language, you are exempt from submitting a separate language proficiency certificate. Countries where English is considered a native language include United States, the United Kingdom, Canada (excluding Quebec), Australia, New Zealand, Ireland, South Africa, and countries in the Caribbean where English is an official language.

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

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.

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

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