Next-Generation Sequencing (NGS) technology produces large amounts of data in a very short time. Analyzing and understanding the human genome, epigenome, and the associated transcriptome is a growing challenge. It is therefore important to generate an effective and resilient interface between biologists, chemists, physicians, and pharmacists, as research in life sciences is not only carried out in the laboratory. The amount of data that is generated by sequencing the genetic material of humans, animals or plants must be computationally processed and correlated in order to make it usable: This is the task of Life Science Informatics.
Biomedical research currently uses a wide variety of computer-based analyses to identify and analyze genes that are predictive for the prognosis or response to therapy of a disease (personalized medicine and molecular diagnostics). The analysis and evaluation of these data sets require knowledge of medical and scientific basics in combination with application-oriented computer science. These core competencies are intensively taught in an application-oriented manner in the Master Life Science Informatics postgraduate degree course.
The challenge of evaluating NGS data is not to read the "letter sequence" of our genetic material (DNA and RNA), but rather to understand the function, regulation, and interaction of genes, the "holy grail" of genetics.
- Degree: Master of Science (M.Sc.)
- Duration: 3 semesters
- Start: October (winter semester)
- Course language: English
- Completed studies in natural sciences, pharmaceutics, medicine or informatics with the B.Sc. or 1st state examination;
- Level C1 English language skills.
- Fees: No tuition fees, only €52 student service fee per semester
- Campus: Deggendorf
Due to the rapid development of NGS technology, graduates of Life Science Informatics master degrees are increasingly required by software or database providers for scientific applications, medical-, chemical-, pharmaceutical- or biotech- companies as well as in scientific research and development.
Career opportunities are particularly:
- At universities
- In pharmaceutical companies
- In clinical and/or scientific research institutions
- In bioinformatics companies
- In biotech companies
- In the biomedical industry
If you belong to the best, then you have optimal conditions to study for your Ph.D. after the Master's program.
Overview of the courses (from the study and examination regulations WS 2019/20), SWS (weekly semester hours) and ECTS (European Credit Transfer and Accumulation System) in the Master Life Science Informatics.
Course subjects Master Life Science Informatics:
|Informatics and Biomedicine||4||5|
|Life Science I||4||5|
|Biomedical data analysis||4||5|
|Life Science II||4||5|
|Data management, Data analysis & Data Mining||4||5|
|Bioinformatics-Algorithms & Data structures||4||5|
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