Objectives and competences

The volume of big data is growing faster in healthcare than in any other sectors. This represents an unprecedented potential to advance towards precision medicine. In this regard, an increasing workforce demand for Biomedical Data Scientist is forecasted for forthcoming years. These are data scientist with the necessary interdisciplinary mindset to handle health-related big data and create value out of it.

The official master's programme in Biomedical Data Science has been designed anticipating this demand and it is mainly aimed at providing the interdisciplinary training necessary to handle, manage, analyse, and model large-scale biomedical data.

Boosted by Bioinformatics Barcelona (BIB), the master's programme results from a joint-collective effort between seven public universities (URV, as coordinating university, UPC, UB, UAB, UdG, UdL, UVic); hospitals across the Catalan health system; and companies from the biomedical or pharma sectors. This partnership will allow delivering this program at the top-quality level.

Basic information

TypeMaster's degree
Faculty or schoolFaculty of Mathematics and Computer Science
Branch of knowledge
Mode of delivery
  • On line
Length of course2 academic years
Language(s) of instructionEnglish
Course detailsIndicators
Open pre-enrolmentNo
Open enrolmentNo
Lead to doctoral studiesYes
Admission for applicants not holding a degree qualificationNo
Main university information Master's degree course homepage
Main universityUniversitat Rovira i Virgili
  • Universitat Rovira i Virgili
  • Universitat Politècnica de Catalunya
  • Universitat Barcelona
  • Universitat Autònoma de Barcelona
  • Universitat Lleida
  • Universitat Girona
  • Universitat Vic
Bridging coursesNo

Objectives and competences



Access and admission

Applicant profile and access requirements

Recommended applicant profile

Access requirements and conditions

General requirements
In accordance with Article 16 of Royal Decree 1393/29 October 2007, students must hold one of the following qualifications to access university master's degree courses:
  • An official Spanish degree.
  • A degree issued by a higher education institution within the European Higher Education Area framework that authorizes the holder to access university master's degree courses in the country of issue.
  • A qualification from outside the framework of the European Higher Education Area. In this case, the qualification should be recognized as equivalent to an official Spanish degree. If it is not recognized, the University of Barcelona shall verify that it corresponds to a level of education that is equivalent to official Spanish degrees and that it authorizes the holder to access university master's degree courses in the country of issue. Admission shall not, in any case, imply that prior qualifications have been recognized as equivalent to a Spanish master's degree and does not confer recognition for any purposes other than that of admission to the master's degree course.



The pre-enrolment period opens as of January and closes, at the latest, in September. Each centre and each master's degree can establish their specific periods within this general period.

Required documentation

Selection criteria



As a general rule, at the UB you will be required to enrol online. Remember that you can lose your place if you do not enrol on the day you have been assigned

Course curriculum

Subjects and course plans

Distribution of credits

Compulsory 102
Optional 0
Compulsory placements 0
Compulsory final project 18

List of subjects

Subject Type Language Credits
Specialization: Biomedical Data Science
Advanced Health Data Analysis Compulsory 6
Advanced Medical Image Analysis Compulsory 4.5
Biomedical Data Challenges Compulsory 3
Biomedical Sensors and Signal Processing Compulsory 3
Biomedical Statistics Compulsory 6
Biomedicine for Engineers Compulsory 4.5
Clinical -Omics and Translational Medicine Compulsory 4.5
Complex Networks Compulsory 4.5
Computational Epidemiology Compulsory 4.5
Computer-aided Diagnosis and Decision Making Compulsory 4.5
Deep Learning Compulsory 4.5
Electronic Health Records Compulsory 4.5
Entrepreneurship and Innovation Compulsory 4.5
Ethics, Regulation and Privacy Compulsory 4.5
Health Data Integration Compulsory 3
Health Data Visualitzation and Communication Compulsory 4.5
High-Performance and Distributed Computing for Big Data Compulsory 6
Machine Learning for Precision Medicine Compulsory 6
Master Thesis Compulsory 18
Medical Imaging Compulsory 4.5
Project and Researh Methodologies Compulsory 4.5
Scientific Programming Compulsory 4.5
Summer School Compulsory 3
Text Mining for Healthcare Compulsory 3

Previous years


Placements in a company or another type of organization are an integral part of university studies, providing first-hand experience of working methodologies in students' chosen professional fields. They offer invaluable practical experience for the transition into work after graduation.

Placements are supervised by tutors and subject to assessment. They are therefore included in the academic record.  There is also an option to complete non-curricular placements of up to 500 hours, which can be extended to 900 hours. For both curricular and non-curricular placements, an educational cooperation agreement is signed between the UB and the company, institution or other organization at which the placement will be carried out.

Institutional information

Career opportunities

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