- Degree
- Master of Science (with additional honours programme with a separate admission procedure in the first semester)
- Course location
- Garching b. München
- Teaching language
- • English
- Languages
- Courses are held in English (100%).
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- With lectures starting in the middle of October, welcome events are typically scheduled in the preceding weeks.
- Application deadline
- The application period opens on 1 February, and the application deadline is 31 May for the following winter semester.
We review applications on a first-come, first-serve basis. We recommend that non-EU students submit their application documents as early as possible (preferably before 31 March) in order to have enough time to apply for a visa or any other required documentation.
- Tuition fees per semester in EUR
- 6,000 EUR
- Additional information on tuition fees
- Please refer to the following website for more information on tuition fees at TUM: https://www.tum.de/en/studies/fees/tuition (https://www.tum.de/en/studies/fees/tuition).
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- 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 (eight 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, refer to:
https://www.cit.tum.de/cit/studium/studiengaenge/master-computational-science-engineering/ (https://www.cit.tum.de/cit/studium/studiengaenge/master-computational-science-engineering/)
CSE offers an optional honours programme that requires 30 additional ECTS credits in additional topical courses (mainly in compact courses or summer schools), seminars on soft skills, and a research-oriented honours project. For more information, see: http://www.bgce.de/ (http://www.bgce.de/).