Illuminated robots next to molecule models


Which computer-assisted analysis methods are suited to predict genetic predispositions? How does the body react to medication? And how is it actually possible to process large amounts of data? If you find these questions interesting, then you have come to the right place!
Illuminated robots next to molecule models
Image: Jan-Peter Kasper (University of Jena)
Key facts
Bachelor of Science
Admission restriction
without admission restriction (without NC)
6 Semesters
Teaching language
Tuition fee
Semester contribution
€ 272,65
Start of studies
Winter semester
Part-time possible
Faculty of Biological Sciences
Faculty of Mathematics and Computer Science
Institutes of the Faculty of Biological Sciences
Institute of Computer Science
Application & Deadlines

Programme content

Do computer science and life sciences go together? Briefly put yes—very well, in fact! These two areas combined form an exciting, innovative and future-oriented field of research. This study programme trains you to become specialists who are competent in two areas at the same time: After all, bioinformaticians speak both the language of computer science and that of the life sciences in order to solve problems with computer-assisted methods. What is best: They can mediate between precisely these two fields and establish connections. When it comes to predicting genetic predispositions for various diseases or the ways in which medicines work, for example, bioinformatics comes into play. The ultimate goal is to decipher the blueprints of humans, bacteria and plants and to uncover the connections in the development of diseases. If the genome of a living being is fully analysed as quickly as possible, mutations can also be detected, for example. Bioinformatics is a key technology that is being increasingly used by industry. This is why biotechnology and pharmaceutical companies, as well as biomedical research companies, are desperately looking for young talent. 

Problems in the life sciences from biology, biotechnology and medicine need to be addressed and answered using mathematical and computer science methods. For this reason, the focus at the beginning of the study programme is on the basics of biology (especially molecular biology), computer science and mathematics. You will acquire programming skills and the foundations of bioinformatic thinking. Afterwards, you will expand your knowledge and deal with practical programming and implementation of algorithms as well as molecular evolution and molecular structures, among other things. 

Video: Sebastian Böcker


Student is sitting in front of a blackboard
Student is sitting in front of a blackboard
Image: Jan-Peter Kasper (University of Jena)

The bachelor's degree is the first professional qualification. The standard period of study is six semesters, during which various forms of courses (e.g. lectures, exercises or internships) are offered for the individual modules.

If you take a single-subject bachelor’s programme in ‘Bioinformatics‘, your field of study will comprise 180 credit points (CP for short; 1 CP = 30 hours for attendance, preparation and follow-up work, private study, assessed coursework and examinations).

The first phase of the programme (1st to 3rd semester) serves to provide orientation, bridge any gaps in prior knowledge, train programming skills, and acquire basic knowledge and skills. In the second study phase (4th to 6th semester), you will extend this knowledge and deepen it in the compulsory elective area in bioinformatics, computer science and biology.

How might your degree programme shape up?

1st semester 2nd semester 3rd semester 4th semester 5th semester 6th semester
Introduction to Bioinformatics I
(12 CP)
Computability and Complexity
(6 CP)
Proseminar Bioninformatics
(3 CP)
Project Data Mining and Sequence Analysis
(6 CP)
Proseminar Bioinformatics
(3 CP)
Structural Programming
(9 CP)
Introduction to Bioninformatics II
(9 CP)
Required elective area 1 (Bioinformatics)
(18 CP)
Introduction to Genetics
(4 CP)
Practical course Molecular Biology
(8 CP)
Required elective area 2 (Computer Science)
(12 CP)
Elective area 4 (Key Competences)
(3 CP)
Linear Algebra
(6 CP)
Algorithms and Data Structures
(9 CP)
Introduction to Probability Theory
(6 CP)
Required elective area 3 (Biology)
(15 CP)
Discrete Structures I
(6 CP)
Introduction to Cell Biology
(3 CP)
(9 CP)
Practical course Programming
(6 CP)
Molecular Evolution
(3 CP)
Bachelor thesis
(12 CP)
  Basic Calculus
(6 CP)
  Numerical Analysis
(6 CP)

Abbreviations: CP = credit points

More detailed information can be found in the module catalogue for the study programme [in German].External link

Why study in Jena?

Bioinformatics is perfect for me, because programming combines logical thinking and creativity, and because due to the biological orientation, I always know what am I calculating something for.

Nadja Gorczak, student

A look behind the scenes

NetworkingExternal linkde
Jena is home to numerous biological, biochemical and bioinformatics institutes, working groups and companies—the ideal place to gain a foothold in bioinformatics research during your studies.

What can you do after your studies?

Areas of employment for graduates

  • sequence and genome analysis
  • databases
  • software development
  • data analysis
  • modelling and simulation
  • systems biology
  • research (usually after completing a doctorate)

Postgraduate master’s programmes at our University

  1. Bioinformatics Master of Science
    • Faculty of Biological Sciences
    • Faculty of Mathematics and Computer Science
  2. Computational and Data Science Master of Science
    • Faculty of Mathematics and Computer Science
All degree programmes

What are we looking for in prospective students?

  • an interest in scientific questions;
  • solid knowledge in biology, chemistry, physics, and mathematics;
  • basic computer skills
  • the ability to study independently;
  • sound knowledge of English as the language of sciences;
  • interest in analysing and solving complex problems 
  • understanding of a logically structured way of thinking

Admission requirements

  • University entrance qualification

    A university entrance qualification, such as a general secondary school leaving certificate, is required for admission onto the study programme.

    More information on university entrance qualifications can be found here.

  • Language requirements

    Admission and language requirements for applicants of foreign nationality and without German Abitur:


Academic Advisor — apl. Prof. Dr Peter Dittrich
Academic Advisor — Prof. Dr Stefan Schuster
Examinations Office of the Faculty of Mathematics and Computer Science
Examinations Office of the Faculty of Biological Sciences
Central Student Advisory Service

Office hours:
We offer consultations in person, by telephone, and via Zoom. You can make an appointment by calling us on +49 3641 9-411111 (Mondays to Fridays from 9:00 to 11:00) or outside these office hours on +49 3641 9-411200. You can also use our remote help desk.

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You can also use our remote help desk at
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Postal address:
Friedrich-Schiller-Universität Jena
07737 Jena

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