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bioinformatics, b.sc.

faculty of applied computer science





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will find a job

within 2 months






decoding biological data

#bioinformatics #biomedicine #personalisedmedicine #biomedicaldataanalysis #computationalscience #informatics

#molecular pathology #digitisation #bigdata #programming #precision medicine #molecular diagnostics #computationalbiology


Bioinformaticians specialise in programmes and algorithms that process and prepare data from molecular and cell biology. There is a lot of data available on genes, proteins, biological processes or the structure of cells that can help research and medicine. To evaluate them manually is simply not feasible. With the help of modern information technology, you can make the evaluation possible and even process the data in a way that is adapted to specific questions. In this way, doctors, pharmacists and researchers can better understand biological phenomena and help to ensure that diseases are treated in a more targeted way and that people receive the optimal form of therapy as quickly as possible. Together, biology and computer science are an exciting professional field. During your studies, subjects such as molecular biology, chemistry, biochemistry and physiology are just as much a part of your curriculum as mathematics and computer science. If you are interested in natural sciences and like to think in a solution-oriented and networked way, you have very good chances of being successful in this degree programme.

fact-sheet bioinformatics

Degree: Bachelor of Science (B.Sc.)

Duration: 7 semesters (3.5 years)

Start: October (winter semester)

Location: Deggendorf

Taught in: German (see language requirements)

Admission requirements:

  • General German university entrance qualification, or please check your eligibilty at the DAAD if you own an international qualification

Prerequisites: General technical understanding

Postgraduate opportunities:

Fees: No tuition fees, only € 62 student service fee per semester


career prospects

Bioinformaticians are sought everywhere where biological and medical data are generated. As a rule, there is a specific problem or question that you have to answer by analysing the data. You then develop computer-based applications, i.e. programmes, algorithms or scripts.

In this way you contribute to

  • Research in the processes in the human body,
  • The development of new medicines,
  • Identifying disease-causing "biomarkers" (prognostics or diagnostics),
  • The simulation of biological phenomena
  • Or evolutionary research.

As a rule, you don't need more than a computer for this. Quite often you work as part of a scientific group of medical doctors, natural scientists and other computer scientists in the aforementioned fields. This can be in hospitals, in the pharmaceutical industry, in laboratories or even in the cosmetics industry. The study of biological data is also relevant for research in the plant and animal world.

As a bioinfomatics technician you will help

  • Doctors find the right therapy,
  • To offer patients the most effective form of therapy as quickly as possible,
  • To communicate and to further research understanding of molecular biology and biomedical issues,
  • Develop diagnostic tools in the field of molecular pathology,
  • Digitalisation in health care, and
  • Drug development.

Jobs typical for bioinformaticians:

  • In companies in the pharmaceutical or chemical industry
  • Software and database providers for scientific and biomedical applications
  • At IT service providers and
  • In research and development.

subject overview

Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the Bachelor's degree Bioinformatics.


1. Semester SWS ECTS
Biology and Chemistry 4 5
Physics 4 5
Operating Systems and Networks 4 5
Mathematics I 4 5
Programming I 4 5
Basics of Computer Science 4 5
2. Semester    
Molecular Biology und Biochemistry I 4 5
Key Qualification - Technical English 4 5
Mathematics II 4 5
Internet Technologies 4 5
Programming II 4 5
Algorithms and Data Structures 4 5
3. Semester    
Molecular Biology und Biochemistry II 4 5
Physiology 4 5
Data Bases 4 5
Project Management 4 5
Stochastics 4 5
Key Qualification - Ethiks and Academic Work 4 5
4. Semester    
Bioinformatics I 4 5
Internship Molecular Biology and Biochemistry 4 5
Software Engineering 4 5
Machine Learning 4 5
Micro Biology 4 5
Key Qualifications - Compliance, Data Protection and IT Law 4 5
5. Semester    
Internship - 24
PLV Career Service I 2 3
PLV Career Service II 2 3
6. Semester    
Molecular Biotechnology 4 5
Pathology and Pathophysiology 4 5
Bioinformatics II 4 5
Proseminar - Bio and System Medicine 4 5
Deep Learning / Big Data 4 5
FWP-1 (I-III) 4 5
7. Semester    
Bachelor Seminar 2 5
Bioethics 2 5
FWP-2 (I-III) 4 10
Bachelor Thesis - 10