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.

Recommended course of study

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

Year 1

Autumn

• Bioinformatics and Sequence Analysis, 7.5 credits (BINP11)
• Bioinformatics: Programming in Python, 7.5 credits (BINP16)
• Modelling Biological Systems, 7.5 credits (BIOS13)
• Processing and Analysis of Biological Data, 7.5 credits (BIOS14)

Spring

• DNA Sequencing Informatics I, 7.5 credits (BINP28)
• DNA Sequencing Informatics II, 7.5 credits (BINP29)
• Research project or optional courses (BINP37)

Year 2

Elective, optional courses and/or a master's degree project

You find completed master's degree projects in biology and molecular biology on LUP Student Papers.

Degree requirements

Courses corresponding to 120 credits, of which should encompass

• Compulsory Courses, 45 cr:
  • Bioinformatics and Sequence Analysis, 7.5 credits (BINP11)
  • Bioinformatics: Programming in Python, 7.5 credits (BINP16)
  • Modelling Biological Systems, 7.5 credits (BIOS13)
  • Processing and Analysis of Biological Data, 7.5 credits (BIOS14)
  • DNA Sequencing Informatics I, 7.5 credits (BINP28)
  • DNA Sequencing Informatics II, 7.5 credits (BINP29)
• Elective Courses, at least 15 credits:
  • Genetic Analysis I, 7,5 credits (BIOR59)
  • Genetic Analysis II, 7,5 credits (BIOR60)
  • Bioinformatics: Applied work 7,5 credits (BINP36)
  • Bioinformatics: Applied work 15 credits (BINP38)
  • Bioinformatics: Research Project 7.5 credits (BINP35)
  • Bioinformatics: Research Project 15 credits (BINP37)
  • Bioinformatics: Research Project 30 credits (BINP39)
• Optional Courses, 0-30 credits
• Master’s degree project, 30/45/60 credits

Degree title

Master (120 credits) in Bioinformatics

Prerequisites and application on Lund University central education web pages.