Systems Biology and Metabolomics
University of Wurzburg · Würzburg, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Campus
- Würzburg
- Apply by
- Register by 15 July 2027 + 1 more
- Starts
- Winter and summer semester
University of Wurzburg 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
- Bachelor of Science in biology or equivalent study degree that fulfils the criteria of the "Fachkanon Biologie" / subject specific criteria, in particular: Bachelor of Science in Biology or a similar programme Biosciences: 75 ECTS credit equivalents Chemistry (including biochemistry and physical chemistry): 15 ECTS Physics, mathematics, biostatistics: 15 ECTS OR Biosciences: 60 ECTS Chemistry (including biochemistry and physical chemistry): 20 ECTS Physics, mathematics, biostatistics: 12 ECTS OR Biosciences: 70 ECTS Chemistry (including biochemistry and physical chemistry): 10 ECTS Physics, mathematics, biostatistics: 12 ECTS Proof of experimental laboratory experience, preferably by an experimental thesis comprising a minimum of 10 ECTS Please submit either your final degree or your transcript of records to certify the minimum requirement of 150 ECTS. You have to submit your completed transcript of records no later than 15 September or 15 March, respectively.
- English language requirement
- B2 required, please provide an official language certificate, e.g.: Cambridge English Qualifications: C1 Advanced IELTS Academic: 6.5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 1 February - 15 July The following is valid for applicants from: all countries For the summer semester: 1 October - 15 January
- Apply through
- Please check this website .
About this programme
The programme focuses on the reprogramming mechanisms of the metabolism in association with transcriptional, metabolomic, physiological, phenotypic, or behavioural changes including disease development. Current techniques of metabolomics and bioanalytics, including quantitative metabolite analysis methods (chromatography, mass spectrometry) are applied for comprehensive gene function analysis or stress response analysis. Bioinformatics and complex computational approaches yield insights into the field of computational biology and metabolic networks. In particular, advances and current results of systems biology are discussed including bioinformatics (genome and sequence analysis, protein domains, or protein families) and large-scale data analysis (e.g. next generation sequences, proteomics data). Moreover, systems biology analyses dynamics and effects of different functional RNAs (e.g. miRNAs, lncRNAs), modelling in functional genomics, and the dynamics of the transcriptome and of metabolism. Finally, metabolic networks and their integration with regulatory networks are investigated and discussed.
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