Scientific Computing
University of Bayreuth · Bayreuth, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Campus
- Bayreuth
- Apply by
- Register by 15 November 2026 + 1 more
- Starts
- Winter and summer semester
University of Bayreuth 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
- A Bachelor’s degree in mathematics, computer science, engineering science or physics (or a degree with equivalent content) with a final grade of 1.9 or better Sufficient specialised knowledge in numerical mathematics of at least 16 credits
- English language requirement
- B2 required, please provide an official language certificate, e.g.: Cambridge English Qualifications: B2 First TOEFL iBT (before 2026): 72 Reading: 18 Listening: 17 Speaking: 20 Writing: 17 UNIcert® English: UNIcert® II IELTS Academic: 5.5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the summer semester: 1 September - 15 November The following is valid for applicants from: all countries For the winter semester: 1 March - 15 May
- Apply through
- Please check this website .
About this programme
The past several years have shown that numerical simulations of phenomena in technology and the natural sciences are an essential tool for accelerating development cycles in industry and businesses. While researchers once had to meticulously study the properties of a product on the basis of prototypes, they are now simulated and optimised on computers. Demands for the capabilities of numerical simulation continue to grow with the need for models that are more and more precise, the incorporation of new problem areas such as data analysis (e.g. big data ) or stochastic models (i.e. those containing uncertain data ). All these fields are encompassed in the young and forward-looking research area of scientific computing . The field addresses the entire workflow , including modelling; mathematical, numerical, and statistical analysis; optimisation; the implementation of algorithms on high-performance computers; and the visualisation of results. However, little attention has been paid to training students in this development. The international Master’s programme is geared towards students working at the intersection of mathematics, computer science, and application fields. The objective of the programme is to offer a specialised educational background that enables highly qualified, hard-working students to apply state-of-the-art methods and tools of Scientific Computing to solve challenging problems in modern technology and sciences. This interdisciplinary approach starts with an i
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