Home  >  Studying and Teaching > Course offerings > University master's degree courses > F > Fundamental Principles of Data Science

Fundamental Principles of Data Science

The web pages on official master's degrees taught at the University of Barcelona use third-party cookies to display information related to each degree programme based on your browsing habits. If you continue to browse the site, we will assume that you are happy for us to use these cookies. For more information about cookies and how to configure your browser so that they are not installed, click here.


Large amounts of data are generated in many aspects of personal and professional life, from electronic purchases to research or finances. If these data are not monitored or interpreted, they have no value. Data science is a new professional area that aims to give these data meaning by analysing and interpreting them. A data scientist is a new professional profile at the intersection between maths and computer science.
The master's degree in Fundamental Principles of Data Science aims to provide, through theoretical and practical training , the algorithmic and mathematical bases for correct modelling and analysis of data, and the professional competences to face data-based projects. There is a focus on competences to understand the principles of algorithms that lie behind data science. Students will develop the ability to modify algorithms and create new ones, to adapt to the specific needs of a problem. Consequently, the course includes aspects that cover a wide area: computational algebra, optimisation or probabilistic programming, automatic learning techniques and deep learning, complex networks, recommendation systems, applications to natural language processing, time series, extraction of information in images, and support for infrastructures that process big data.

Learning objectives

The Master's Degree in Fundamental Principles of Data Science aims to provide the tools, knowledge and competences required to work effectively as a data scientist. The course focuses on the competences required to understand, modify and create algorithms, analytical and exploratory methods and techniques; as well as leadership abilities and the development of effective data-based projects.

Basic Information

Number of ECTS credits awarded:
Language(s) of instruction:
Number of places available:
Approximate price:
 46,50 euros per credit ( 82 euros for students who are not EU nationals and do not currently reside in Spain). Fees for the academic year 2018-2019
Faculty or school:
  Faculty of Mathematics and Computer Science
Master's degree course homepage:
  Master's degree course homepage
  • Follow us:
  • Button to access University of Barcelona's Facebook profile
  • Button to access University of Barcelona's Twitter profile
  • Button to access University of Barcelona's Instagram profile
  • Button to access University of Barcelona's Linkedin profile
  • Button to access University of Barcelona's Youtube profile
  • Button to access University of Barcelona's Google+ profile
  • ??? peu.flickr.alt ???
Member of International recognition of excellence HR Excellence in Research logo del leru - League of European Research Universities logo del bkc - campus excel·lència logo del health universitat de barcelona campus

© Universitat de Barcelona