This page offers some basic information about the Master of Science in Data Science at the University of Trento. For further information, plese refer to the official page of the Master of science in Data Science at the University of Trento.
General Description
The Master of Science (Laurea Magistrale) in Data Science will provide graduates with a deep theoretical, methodological and technical knowledge in mathematics and statistics, computer science, and also with a specific domain expertise in fields like Social and Political Sciences, Psychology and Business.
Graduates will be able to put their expertise to work in the private, public and third sector, being knowledgeable in the treatment of data, and in their analysis. Great attention will be given in developing “how-to-do-it” abilities and soft skills. Many of the labs and courses will provide group design activities in interdisciplinary workshops, with the participation of non-academic stakeholders.
These skills will be further strengthened through external activities, such as training placements at institutions, research institutes, laboratories, companies and public administrations, or visiting periods to be spent in other Italian and European Universities.
The objective is to foster both the development of interdisciplinary knowledge applied to concrete cases and the acquisition of those skills linked, inter alia, to relational, communicative, negotiating and organisational skills.
Instruction language
The courses of the MSc in Data Science are taught in English.
Goals
The MSc in Data Science aims at enabling its graduates to understand and analyze large data sets relating to individual and social behavior, natural phenomena, or scientific pursuits.
Graduates at the MSc in Data Science will be able to offer evidence-based support to decision making process at the executive level, in both the private and the public sector.
Curricula
The MSc in Data Science is organized into two curricula. A student enrolls in one of the two curricula, according to her/his previous studies.
Curriculum A is meant for students who have bachelor degree (Laurea Triennale) in one of the following areas: Computer Science, Mathematics, Physics, Statistics, Engineering.
Curriculum B is meant for students who have taken a bachelor degree (Laurea) in one of the following areas: Sociology, Economics, Psychology.
Detailed information about the two curricula is available at the
official page of the Master of science in Data Science at the University of Trento
Admission Requirements
In order to be admitted to the two-year MSc programme in Data Science applicants are required to have a first-level (Bachelor) degreeand the minimum requirements requested in the call for admission, i.e., English language at level B2 and a minimum number of credits in specific disciplinary areas.
IMPORTANT: applicants are required to have completed in the their first-level degree 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 an additional 24 CFU in one or more sectors listed above
Detailed information about formal requirements is available at the
official page of the Master of science in Data Science at the University of Trento
How to Apply
Applications to the MSc in Data Science should be delivered electronically by filling in the electronic form available on the University of Trento website before the dealine contained in the call for applications.
Detailed information about how to apply to the MSc in Data Science and about the supporting documents that are required is available at the
official page of the Master of science in Data Science at the University of Trento
(*) An official translation of the certificate is required when the original document is not produced in English or Italian.
Illegible documents will not be considered, while incomplete or non-submitted application forms will be automatically excluded from the selection process.
Evaluation Process
Applications are evaluated by a Selection Committee. The Selection Committee will shortlist the eligible applicants taking into account the criteria outlined in the call for applications.
The Committee may require a personal interview with shortlisted applicants to better evaluate their curriculum. The interview can include questions on the main topics studied by applicants during their Bachelor’s Degree, and can touch upon issues such as expected career plans, expectations linked to the MSc in Data Science. Applicants can request to take the interview in remote access.