University Master's Degree in Bioinformatics

Bioinformatics is a strategic science essential to understanding the ever increasing avalanche of biological data.

Content Official Master's Degree in Bioinformatics

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Ideal student profile

To be admitted to the master's degree you must hold an official university qualification valid for admission to master's degree courses in the country in which it was obtained.

If you have little or no prior training in the field of biosciences you will be required to take an additional module in Molecular Biology in Bioinformatics during the first semester. This additional training course includes various aspects of biology and at the same time offers a joint perspective on different areas in bioscience: molecular sciences, genetics, cell biology, laboratory techniques, etc.

Basic skills

  • Possess and understand knowledge that provides a basis or opportunity for originality in the development and/or application of ideas, often in a research context.
  • Student should possess the learning skills that enable them to continue studying in a way that is largely student led or independent.
  • Students should know how to apply the knowledge they have acquired and their capacity for problem solving in new or little known fields within wider (or multidisciplinary) contexts related to the area of study
  • Students should be able to integrate knowledge and face the complexity of making judgements based on information that may be incomplete or limited and includes reflections on the social and ethical responsibilities associated with the application of their knowledge and judgements
  • Students should know how to communicate their conclusions, knowledge and final reasoning that they hold in front of specialist and non-specialist audiences clearly and unambiguously

Specific skills

  • Understand the molecular bases and most common standard experimental techniques in omic research (genomics, transcriptomics, proteomics, metabolomics, interactomics, etc.)
  • Use operating systems, programs and tools in common use in biocomputing and be able to manage high performance computing platforms, programming languages and biocomputing analysis.
  • Analyse and interpret data deriving from omic technology using biocomputing methods 
  • Propose biocomputing solutions for problems deriving from omic research.
  • Identify the biocomputing needs of research centres and companies in the biotechnology and biomedicine sectors.
  • Conceive, design and carry out scientific, technical or industrial projects in biocomputing and be able to interpret and extract knowledge from them.

Cross-curricular skills

  • Design and apply scientific methodology in resolving problems.
  • Use and manage bibliographical information and computer resources in the area of study
  • Propose innovative and creative solutions in the field of study
  • Work individually and as part of a team in an international and multidisciplinary context.
  • Communicate research results clearly and effectively in English.
  • Apply research results to obtain new good and services valuating their industrial and commercial viability to transfer them to society.