Computational Biology and Bioinformatics
Georg August Universitat Gottingen · Göttingen, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Göttingen
- Apply by
- <ul> <li>1 January to 15 February for applicants who are not EU citizens and do not hold an EU Bachelor's degree (start of studies in October)</li> <li>1 April to 15 May for applicants who are EU citizens or hold an EU Bachelor's degree (start of studies in October)</li> </ul>
- Starts
- Winter semester
Georg August Universitat Gottingen 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
- For admission to our Master's programme in Computational Biology and Bioinformatics, you need a BSc degree with a minimum of six semesters and 180 ECTS (European Credits); however, 30 ECTS can be handed in after admission. Your credits must contain either min. 50 ECTS in Biology (including Organic Chemistry) or Bioinformatics and min. 40 ECTS in Mathematics, Statistics, Informatics, Bioinformatics or Physics OR Min. 30 ECTS in Biology or Bioinformatics and min. 60 ECTS in Mathematics, Statistics, Informatics, Bioinformatics or Physics.
- English language requirement
- C1 required, please provide an official language certificate, e.g.: telc English: telc English C1 UNIcert® English: UNIcert® III PTE Academic: 76 IELTS Academic: 7
- German language requirement
- No minimum language level required
- Application period
- 1 January to 15 February for applicants who are not EU citizens and do not hold an EU Bachelor's degree (start of studies in October) 1 April to 15 May for applicants who are EU citizens or hold an EU Bachelor's degree (start of studies in October)
- Apply through
- Please check this website .
About this programme
The MSc programme in Computational Biology and Bioinformatics connects objectives of biological and computational sciences. Core fields of the programme are bioinformatics and systems biology, meaning the analysis and modelling of data in molecular biology and biochemistry, in particular from genomics, transcriptomics, proteomics and metabolomics. Computational methods will be supported via hands-on training in the wet lab. Graduates will have a strong biological background and will be able to understand and develop software for the handling and analysis of biological data.
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