• EQF Home Page Icon

Learning Opportunity: Bioinformatics, MS

Bioinformatics, MS

Course Information


On completion of the study programme the student shall be able to:

  • demonstrate wide and general knowledge of the key topics of bioinformatics; algorithm development, databases and formats, and the application of bioinformatic tools
  • demonstrate extensive knowledge in a specialized area of bioinformatics (for instance in systems biology, comparative genomics or proteomics)
  • identify key questions central to bioinformatic research and how the relate to the status of the discipline
  • discuss the latest questions, problems and results in bioinformatics and describe the general strengths and weaknesses of bioinformatic approaches
  • search for and adopt approaches to solve either basic or applied bioinformatic problems
  • understand the state of the art within the field of bioinformatics related directly to the area of research covered in his/her Masters thesis


On completion of the study programme the student shall be able to:

  • work with different bioinformatics data and formats (e.g. fasta, SAM files, BED tables and markup languages such as SBML and CellML) and different approaches for data integration and management (including data warehouse and wrapper approaches)
  • extract information from different types of bioinformatics data (gene, protein, disease, etc.), including their biological characteristics and relationships
  • master computational techniques and diversified computational tools for processing data, including statistical, machine learning and data mining techniques
  • analyze and summarize data with the support of analytical and visualization tools
  • design and develop bioinformatics solutions by adapting existing tools, designing new ones or a combination of both
  • carry out bioinformatics research under advisement, for example genome assembly, transcriptome analyses, network reconstruction or summarizing proteomics data
  • build, improve and test computational models, approximations and empirical relations against theory and existing datasets


On completion of the study programme the student shall be able to:

  • work independently to analyze and solve specific problems and adopt new approaches in a selected field in bioinformatics
  • work within a larger group to analyze and solve complex problems and develop and test new approaches in bioinformatics
  • interact with other life science professionals and identify how and which bioinformatics infrastructure and tools might best aid their research and work
  • demonstrate good scholarship in the relevant field of bioinformatics
  • demonstrate independent and creative thinking in outlining and analyzing problems, and apply appropriate but diverse sources of research methods and tools
  • be able to communicate in clear and understandable fashion (written and oral language), the key questions in specific field or research project, as well as present and justify own research results and conclusions
  • plan, initiate and manage small research projects and coordinate or participate in group work
  • use acquired knowledge and learning skills for further research-related studies in this field and be responsible for own professional development

Reference Data

Education Level:
Thematic area:
EQF Level:
Teaching Language:
Non preferred term: 


Provider Information

Provider Name: