Life Science Informatics (b-it)
The University of Bonn · Bonn, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Bonn
- Apply by
- Register by 1 March 2027
- Starts
- Winter semester
The University of Bonn does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Candidates must hold a first degree awarded by an internationally recognised, university-level institution (Bachelor of Science or Engineering) in biology, medicine, pharmaceutics or computer science, or another closely related discipline. Candidates should have performed well above average in their undergraduate studies. The Graduate Record Examination (GRE) is strongly recommended. In particular, applicants must have knowledge equivalent to a one-year course in each of the following subjects: analysis, linear algebra, fundamentals of biochemistry, theoretical biology, in the areas programming, data structures and algorithms, computer organisation and design, fundamentals of theoretical computer science, molecular biology, genetics, cell biology, neurobiology, biodiversity, microbiology and pharmacology.
- English language requirement
- B2 required, please provide an official language certificate, e.g.: IELTS Academic: 6
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 1 December - 1 March
- Apply through
- Please check this website .
About this programme
The programme is distinguished by its international orientation, its focus on both natural sciences and IT competence, and its high level of integration of research and teaching. The programme is characterised by a significant number of research lab courses embedded in both basic and applied research at the participating Fraunhofer Institutes of Applied Information Technology (FIT) and for Algorithms and Scientific Computing (SCAI) in cooperation with regional industry. The Master's programme in Life Science Informatics consists of four main blocks: Computer science and mathematics for natural scientists Basic principles of life science informatics Biology of the cell and systems biology Biomedical data science & AI Major topics include: biomedical database systems management and retrieval of information data mining and machine learning statistical genetics drug design medical imaging and visualisation computational neuroscience computational modelling of regulatory and metabolic networks systems biology and computational systems biology analysis of microarrays biomedical data science and artificial intelligence Special courses and internships on information retrieval, data mining, data science and AI provide a special focus on (or within) the important application domain of biomedical information systems, biomedical data science and AI. The programme also includes training designed to sensitise students to the ethical implications of emerging biotechnologies. The final six m
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