Computational Science and Engineering (CSE)
Technical University of Munich · Munich, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Garching b. München
- Apply by
- Register by 31 May 2027
- Starts
- Winter semester
- Tuition
- €12,000
Entry requirements and how to apply
- Entry requirements
- Outstanding results in a Bachelor's, Master's, or "Diplom" course (or a degree equivalent to those of a German "Fachhochschule") in some field of science or engineering A solid background in mathematics Good programming skills in a modern programming language A background in science or engineering Please refer to the CSE website for more details, including required application documents.
- English language requirement
- C1 required, please provide an official language certificate, e.g.: TOEFL iBT Home Edition (since 2026): 4.5 TOEFL iBT (since 2026): 4.5 TOEFL iBT Home Edition (before 2026): 88 TOEFL iBT (before 2026): 88 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 - 31 May
- Apply through
- Please check this website .
About this programme
The course of study consists of 120 ECTS credits and comprises 90 credits of coursework and a 30-credit Master's thesis. The coursework is subdivided into four modules and a collection of additional electives: 1. Scientific Computing (31 credits mandatory): Introductory lectures on scientific computing in the first year introductory "lab" course selection of practical and seminar courses 2. Computer Science (10 credits mandatory subjects, 10 credits elective): Introductory lectures in programming and algorithms key lectures in parallel programming electives on HPC, visualisation, and software engineering 3. Applied Mathematics & Numerical Methods (16 credits elective): Lectures on numerical analysis, and/or lectures on numerics for HPC 4. Applications of CSE (8 credits elective): Each student will choose one application area. Lectures are chosen from catalogues, such as computational fluid mechanics, computational structural dynamics, computational physics, computational methods in medicine or biology, or a similar field. The remaining 15 credits can be achieved from additional electives either in the above modules or from a much broader "further electives" catalogue including courses in, e.g. parallel and distributed computing, probabilistic and stochastic methods, and data-driven simulation and computing. For more details on the Computational Science and Engineering (CSE) curriculum, please refer to: https://www.cit.tum.de/cit/studium/studiengaenge/master-computational-scie
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