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Universitat Politècnica de Catalunya Master's degree in Data Science

The Universitat Politècnica de Catalunya (UPC) is offering an interdisciplinary Master's programme focusing on the essential pillars of data science: data management and data analytics. This programme provides a holistic view of the field and covers cross-disciplinary topics including ethics and entrepreneurship. Graduates of this programme will be highly qualified professionals and highly in demand in both academia and industry. This programme also seeks to foster the exchange of information to boost education, research and innovation which are critical to data science. This programme is a two-year programme and is taught entirely in English.

Programme structure

Semester one

  • Algorithms, data structures and databases
  • Data warehousing
  • Multivariate analysis
  • Process-oriented data science
  • Statistical inference and modelling

Semester two

  • Mandatory:
    • Big data management
    • Machine learning
    • Mining unstructured data
    • Semantic data mangement
  • Elective options
    • Advanced statistical modelling
    • Bioinformatics and statistical genetics
    • Complex and social networks
    • Human language engineering
    • Optimisation techniques for data mining
    • Techniques and methodology of innovation and research in informatics
    • Viability of business project

Semester three course options

  • Advanced machine learning
  • Advanced multivariate analysis
  • Algorithmics for data mining
  • Cloud computing and big data analytics
  • Data analysis and knowledge discovery
  • Data management for transportation
  • Debates on ethics of data science
  • Information retrieval and recommender systems
  • Interdisciplinary innovation project

Semester four

  • Master's thesis


As this degree is taught entirely in English students must certify a B2 level (CEFR) of English or equivalent. Holders of Bachelor's degrees in Informatics Engineering, Mathematics, Physics, Statistics, Telecommunications Science and Technology, Telecommunications technologies and Services Engineering or Electronic Engineering and Telecommunications, Civil Engineering or Industrial Technology Engineering or Industrial Electronics and Automatic Control Engineering will be considered for direct admission. Holders of Bachelor's degrees in Bioinformatics, Artificial Intelligence or Data Science and Engineering will be considered for admission as well.

Training Offer Details

Target audience
Digital skills for ICT professionals and other digital experts.
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Industry - field of education and training
Information and communication technologies not elsewhere classified
Target language
Geographical sphere
National initiative
Typology of training opportunties
Learning activity
educational programme
Assessment type
Training duration
Is this course free
Is the certificate / credential free
Full time
Credential offered
Qualification Award
Self-paced course