Master's degree in Data Science 24 months Postgraduate Programme By Universitat Politècnica de Catalunya · BarcelonaTech (UPC) |TopUniversities
Subject Ranking

# =144QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Tuitionfee

4,980 EURTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Admission Requirements

5.5+
160+
59+
72+
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)

2 Years
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Domestic
3,320 EUR
International
4,980 EUR

Scholarships

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