Master of Science
Life Science Informatics

Life Science Informatics

The interdisciplinary master's degree program Life Science Informatics is designed to enable graduates to successfully meet the technical and economic challenges at the interface between biotechnology, medicine, pharmacy, and informatics. Its focus is to convey skills and competencies from the natural sciences and information technology while also integrating academic research as well. The study program consists of four main areas: Informatics and Mathematics for Natural Scientists; Basic Life Science Informatics; Chemoinformatics and Computer-Aided Design of Active Ingredients; and The Biology of Cell and System Biology.

Within these areas, topics are addressed such as biomedical data base systems, data mining, and machine learning, statistical genetics, chemoinformatics, medical imaging, computer-aided disease modeling, algorithmic bioinformatics and system biology. The practical relevance of this program is assured by its high percentage of research laboratory modules, which are embedded in both basic and applied research at participating Fraunhofer Institutes for Applied Information Technology (FIT) and for Algorithms and Scientific Computing (SCAI) in collaboration with regional industrial enterprises.

Possible lines of work:

Scientific research, quality assurance and quality management, process and product development, pharmaceutical consulting and distribution, laboratory analysis, providing expert opinion, IT quality assurance and development, IT application consulting and distribution

Local NC (Uni Bonn)
Master of Science
4 Semester
Winter semester

Examination Regulations (German versions are legally binding)

University degree (German or non-German) in a relevant discipline

English language proficiency (CEFR level B2)

Specific modules: Specific modules: Fundamentals of organic chemistry, molecular biology and biochemistry as well as theoretical biology (18 ECTS in total) as well as computer science knowledge from the areas of programming, data structures and algorithms, computer structures and fundamentals of theoretical computer science (18 ECTS in total)

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