Universitat Politècnica de Catalunya · BarcelonaTech

Master's degree in Data Science

Barcelona School of Informatics (FIB)

The master’s degree in Data Science aims to create a benchmark for excellence in the field of data science. This eminently interdisciplinary degree is based on two distinct pillars that are equally essential to data science: data management and data analytics. The degree thus provides a holistic view of the field that also covers cross-disciplinary topics such as ethics and entrepreneurship. The degree aims to produce highly qualified professionals who have a strong ability to innovate in data management and data analytics. Graduates with these skills are in high demand in both the academic sector and industry. The master’s degree also seeks to generate synergies and to foster the exchange of information and experiences in order to nurture the education, research and innovation triangle, which is vitally important in data science.
Duration and start date
Two academic years, 120 ECTS credits. Starting September
Timetable and delivery
Fees and grants
Approximate fees for the master’s degree, excluding other costs (does not include non-teaching academic fees and issuing of the degree certificate):
€3,320 (€12,662 for non-EU residents).
More information about fees and payment options
More information about grants and loans
Language of instruction

Information on language use in the classroom and students’ language rights.

Barcelona School of Informatics (FIB)
General requirements
Academic requirements for admission to master's degrees
Specific requirements
Since this master’s degree is taught entirely in English, applicants must certify a B2 level (CEFR) of English (or equivalent).

Direct admission

The recommended entrance qualifications for the master’s degree are the following:
  • Bachelor’s or pre-EHEA degree in Informatics Engineering
  • Bachelor’s or pre-EHEA degree in Mathematics
The following qualifications are considered related as they ensure a sound knowledge of informatics and mathematics:
  • Bachelor’s degree in Physics (or equivalent)
  • Bachelor’s degree in Statistics (or equivalent)
  • Bachelor’s degree in Telecommunications Science and Technology, Telecommunications Technologies and Services Engineering or Electronic Engineering and Telecommunications (or equivalent)
  • Bachelor’s degree in Civil Engineering (or equivalent)
  • Bachelor’s degree in Industrial Technology Engineering or Industrial Electronics and Automatic Control Engineering (or equivalent)
Holders of recently introduced degrees that are closely related to data science will be considered. Such degrees include:
  • Bachelor’s degree in Bioinformatics (or equivalent)
  • Bachelor’s degree in Artificial Intelligence (or equivalent)
  • Bachelor’s degree in Data Science and Engineering (or equivalent)
In the case of related degrees, priority will be given to students who have followed a curriculum that ensures a thorough knowledge of mathematics and informatics. In addition, given the highly international character of the master’s degrees offered by the Barcelona School of Informatics (FIB) and this master’s degree in particular, degrees held by foreign students that are equivalent to those listed above will be considered.
Pre-enrolment closed (consult the new pre-enrolment periods in the academic calendar).
How to pre-enrol
How to enrol
Legalisation of foreign documents
All documents issued in non-EU countries must be legalised and bear the corresponding apostille.
With universities around the world
  • Master's degree in Data Science + Master of Science degree in Data Science (Dipartimento di Matematica “Tullio Levi-Civita”, Università degli Studi di Padova, Padova, Italy)
  • Master's degree in Data Science + Degre of Engineer in Informatics applied to Health (École d'Ingénieurs-ISIS, Institut National Universitaire Jean-François Champollion (INU Champollion), Albi, France)
Check the degree’s main quality indicators in the University Studies in Catalonia portal of Catalan University Quality Assurance Agency. Find information on topics such as degree evaluation results, student satisfaction and graduate employment data.
Further information

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