Computational Science and Engineering (CSE)

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/ 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/ .