- Degree
- Master of Science in Bioinformatics
- Course location
- Berlin
- In cooperation with
- Joint programme of the Berlin University Alliance offered by Freie Universität and Charité – Universitätsmedizin.
In cooperation with:
• Max-Planck-Institut für molekulare Genetik (MPIMG)
• Zuse-Institut Berlin (ZIB)
• Max-Delbrück-Centrum für molekulare Medizin (MDC)
• Robert Koch-Institut (RKI)
• Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB)
- Teaching language
- • English
- Languages
- Courses are held in English.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- Applications for our Master's programme in Bioinformatics (consecutive Master's programme) are usually accepted from mid of April until end of May each year. The dates may change. Please find more information here (https://www.fu-berlin.de/en/studium/bewerbung/master/konsekutive-masterstudiengaenge/index.html).
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Bioinformatics research in medicine and the life sciences is increasingly based on analysis and interpretation of biological mass data. The use of computers, combined with accurate mathematical models and efficient algorithms, is indispensable in this process.
Building on the knowledge gained in a Bachelor's degree programme in bioinformatics, this programme offers advanced education in the corresponding subfields of mathematics, computer science, biology, and translational bioinformatics. The programme is jointly conducted by the Department of Mathematics and Computer Science, the Department of Biology, Chemistry and Pharmacy and the Charité Medical School. It offers both in-depth theoretical courses and applied training in bioinformatics. This gives students the necessary knowledge and skills to identify relevant biological issues, develop appropriate mathematical or computational solutions to approach them, and interpret the results correctly in a biological or biomedical context.
The following focus areas are offered to students:
Complex Systems
Advanced techniques for modelling, simulation, and analysis of complex networks and dynamic processes pave the way for understanding systems ranging from molecular interaction networks to ecosystems.
Data Science
This specialisation puts the data in the centre. State-of-the-art analysis and knowledge extraction techniques from modern statistics and machine learning will be explored and applied to realistic data sets. Consequences of the data generation process and topics pertaining to big data will also be considered.
Advanced Algorithms
The emphasis lies on advanced algorithms for bioinformatics analyses. This includes methods to generate search indices for very large sequencing data, efficient protein and RNA analysis, and the necessary computer science foundations to analyse and develop novel and efficient algorithms.