The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Master's programme in Bioinformatics

120 credits

Bioinformatics is an interdisciplinary field where methods and software tools for understanding biological data are developed. New technologies in genomics and proteomics have revolutionised modern research in biology and medicine during the past decade. Scientific discovery now relies heavily on efficient handling and analysis of the enormous amount of data generated from wet lab experiments. Bioinformatics combines biology, computer science and statistics to analyse this kind of data.

The Bioinformatics programme trains students, from different fields, in the computational analysis of biological data. The studies combine research with training in current methods, as well as the development of novel software tools. As a student, you work in a new bioinformatics locality with state-of-the-art computers, and during the courses you have extensive hands-on training. You also perform several bioinformatics projects in connection to international research environments.

Get some inspiration to what the Master's programmes leads to.

You find completed Master's degree projects in bioinformatics on LUP Student Papers.

Showcasing Excellence: Outstanding Academic Publications by our MSc Students

Yali Zhang (Elhaik’s lab)The microbial biodiversity at the archeological site of Tel Megiddo (Israel)


Recommended course of study

The majority of the links below lead to Lund University's education pages.

Year 1



Year 2

Master's degree project and optional courses

Degree requirements

Courses corresponding to 120 credits, of which should encompass:

Compulsory Courses, 45 cr:

  • Bioinformatics and Sequence Analysis BINP11/BINP17, 7.5 credits
  • Bioinformatics: Programming in Python BINP16, 7.5 credits
  • Modelling Biological Systems BIOS13, 7.5 credits
  • Processing and Analysis of Biological Data BIOS14, 7.5 credits
  • DNA Sequencing Informatics I BINP28, 7.5 credits
  • DNA Sequencing Informatics II BINP29, 7.5 credits

Elective Courses, at least 15 credits:

  • Bioinformatics: Applied work BINP36, 7.5 credits
  • Bioinformatics: Applied work BINP38, 15 credits
  • Bioinformatics: Research Project BINP35, 7.5 credits
  • Bioinformatics: Research Project BINP37, 15 credits
  • Bioinformatics: Research Project BINP39, 30 credits

Optional Courses, 0-30 credits

Master’s degree project, BINP50, BINP51 or BINP52 30,45, or 60 credits

Degree title

Master (120 credits) in Bioinformatics

Student sitting at a desk. Photo.


Lotta Persmark, Study advisor, biology and bioinformatics

Telephone: +46 46 222 37 28
EmailLotta [dot] Persmark [at] biol [dot] lu [dot] se (Lotta[dot]Persmark[at]biol[dot]lu[dot]se)