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Bioinformatics for health 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.
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