Studyportals
M.Sc. On Campus

Data Science

University of Trento

24 months
Duration
4500 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master programme in Data Science from University of Trento will provide graduates with a deep theoretical, methodological and practical understanding of mathematics and statistics, computer science, while at the same time providing them with  domain-specific knowledge in fields like Social and Political Sciences, Psychology, Law and Business. 

Overview

Graduates of the Data Science programme from University of Trento will be able to put their expertise to work in the private, public and third sector, being knowledgeable about the treatment of data and their analysis. 

Great emphasis will be given to the acquisition of practical abilities and soft skills – for example, many of the labs and courses will provide teamwork-oriented activities as part of interdisciplinary workshops often with the participation of non-academic stakeholders.  

These abilities and skills will be further strengthened through training placements within public administrations, private companies, research institutes, and laboratories, as well as stays at other Italian and European universities. 

The overarching objective of the programme is to foster the acquisition of interdisciplinary knowledge applied to concrete cases and of relational, communicative, negotiating and organisational skills.

Employment opportunities

In the world there is a growing interest in Big Data, Open Data and the Data Scientist profession due mainly to the growing demand of this professional figure in the Analytics market by the more traditional sectors of the economy, including: banking; manufacturing; telecommunications and media; Public Administration and health; other business services; large-scale distribution; utilities; and, insurance.

In this context, the professional figure of the Data Scientist, coherently with the flexibility in the educational path offered by the LM 91 class, will be characterized to a greater extent, according to the individual student's options, by the capacity of substantive reading of socio-economic-psychological data or by the ability to develop analytical tools useful for their elaboration and presentation.

Programme Structure

Courses include:

  • Informatics
  • Information processing systems
  • Electronic and informatics bioengineering
  • Electric and electronic measurements
  • Business Law 
  • European Union Law

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Bachelor’s degree  or equivalent qualification obtained abroad and recognized as valid; 
  • to have in the first-level degree study plan at least 6 CFU in the sectors INF/* or ING-INF/*, 6 CFU in SPS/* OR SECS-P/* OR M-PSI/* OR IUS/*, 6 CFU in MAT/* OR SECS-S/* and at least further 24 CFU in one or more sectors listed above. In case the degree has been obtained abroad the mentioned  requirements will be checked on the the basis of the contents of each single course;
  • B2  English language qualification. 

Tuition Fee

To alway see correct tuition fees
  • International

    4500 EUR/year
    Tuition Fee
    Based on the tuition of 4500 EUR per year during 24 months.

Living costs for Trento

700 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Data Science
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University of Trento

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