of all DIT graduates
will find a job
within 2 months
#sequencing #biomedicine #bioinformatics #computational biology
#informatics #life science
The Next Generation Sequencing (NGS) technology produces large amounts of data in a very short time. Analysing and understanding the human genome, epigenome and the associated transcriptome is a growing challenge. It is therefore important to generate a functioning and resilient interface between biologists, chemists, physicians and pharmacists, as research in the life sciences is not only carried out in the laboratory. The amount of data that is generated during the decoding of human, animal or plant genetic material, for example, must be 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 analyse genes that are predictive for the prognosis or response to therapy of a disease (personalised medicine and molecular diagnostics). The analysis and evaluation of these data sets requires a sound knowledge of medical and scientific basics in combination with application-oriented computer science knowledge. It is precisely these core skills that are taught intensively and in an application-oriented manner in the Master's programme Life Science Informatics.
The challenge of evaluating the 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 (18 months)
Start: October (winter semester)
Course language: English
Application procedure: Read step by step of how to apply
Fees: No tuition fees, only €62 student service fee per semester
Due to the rapid development of NGS technology, graduates of the Life Science Informatics Master's course are increasingly needed by software or database providers for scientific applications, chemical, pharmaceutical or biotech companies as well as in scientific research and development.
Career opportunities are particularly attractive:
If you belong to the best, then you have optimal conditions after the master study to still follow a graduation.
Overview of lectures and seminars, SWS (weekly semester hours) and ECTS (European Credit Transfer and Accumulation System) of the Master's course Life Science Informatics.
Informatics und Biomedicine
|Life Science I||4||5|
|Biomedical Data Analysis||4||5|
|Life Science II||4||5|
|Data Management, Daten Analysis & Data Mining||4||5|
|Bioinformatics Algorithms and Data Structures||4||5|