Universitat de Barcelona

Bioinformatics for health sciences

Learning objectives

This master's degree program is designed to provide professionals with the knowledge and skills to develop new computational strategies and computer systems used for biomedical research and health care, with particular emphasis on computer systems related to research and development in medicines and on the health care applications of "omic" technologies.

Basic Information

Main university:
  • Universitat Pompeu Fabra
  • Universitat Barcelona
  • Universitat Pompeu Fabra

Pathway(s) offered:
 research, professional practice, mixed pathway
Number of ECTS credits awarded:
Language(s) of instruction:
 Taught wholly in English
Number of places available:
Faculty or school:
  Faculty of Biology
Master's degree course homepage:
  Master's degree course homepage

Admission requirements

Admission requirements and selection criteria:
Because Bioinformatics is an interdisciplinary science this master's degree program is suitable for applicants from a broad range of academic backgrounds, from health and life sciences, engineering or exact sciences and from non-biological experimental sciences.

Skills and competences

This master's degree comprises five main areas of study:

  • Genome bioinformatics: analysis, alignment, comparison and automatic annotation of biological sequences; analysis of genome evolution and variation; molecular biology databases.
  • Structural bioinformatics: introduction to the experimental methods used in the structural prediction of biomolecules, with ab initio protein modelling and homology modelling, and the simulation of biomolecular systems, including energy predictions and molecular interaction.
  • Computational systems biology: description of biological networks and gene, protein and metabolic network modelling; analysis of large bodies of data in "omic" technologies.
  • Pharmaceutical chemoinformatics: molecular library management and its virtual filters, computer-assisted drug design and quantitative and 3D quantitative structure-activity relationship correlation.
  • Biomedical computing: clinical-health information systems, biomedical image analysis, studies in genotype-phenotype relations and computer systems to assist decision making procedures in health care.

This master's degree will also include training in general interest, cross-disciplinary subjects such as algorithms and programming, data analysis and management, text mining and notions of bioethics and data protection applied to bioinformatics.

Pre-enrolment calendar

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.


Closed Enrolment