Introduction

Master in Fundamental Principles of Data Science

The next application period will open very soon.

If you are interested in the Master’s Degree in Fundamental Principles of Data Science
at the University of Barcelona, please take a moment to visit and complete
the information requested on the official programme page:

https://web.ub.edu/en/web/estudis/w/masterdegree-md901

Filling in this page helps us to understand your interest and keep you informed
about key updates (pre-enrolment, admissions, and important dates).

 

 

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 analyzing 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 modeling and analysis of data, and the professional competencies to face data-based projects.
There is a focus on competencies 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,
optimization 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.

Is this the right program for you?

We welcome applicants from a wide range of academic backgrounds.
However, the programme is mathematically rigorous, and the strongest candidates
typically come from disciplines with a solid quantitative foundation,
such as computer science, statistics, mathematics, physics, or engineering.

Candidates from other disciplines are also encouraged to apply,
but they must be able to demonstrate relevant professional experience in quantitative or data-related
roles and provide evidence that they have mastered the required mathematical foundations
(e.g., through coursework, online certificates, projects, or practical work involving mathematics and statistics).

Please note that we are currently receiving a high number of pre-enrolment applications,
and admission is competitive. For this reason, candidates with strong quantitative profiles
will be prioritised in the selection process.

More information:
https://mat.ub.edu/sciencedata/frequently-asked-questions-faq/

 

Number of credits:  60

Mode of delivery:   Face to face

Specializations:  No

Places offered:  30

Approximate price:  27€ per credit (82€ for students who are not EU nationals and do not currently reside in Spain).

Qualification awarded: MSc in Fundamental Principles of Data Science (Official MSc Title)

Faculty or school:  Faculty of Mathematics and Computer Science

Coordination:  Jordi Vitrià i Marca

Information: sec.mat.inf@ub.edu

Next period of submission of applications: The next application submission period will be in February 2026.