University of Erlangen Nurnberg

Course Details

M.Sc Computational Engineering

Course Description

This programme is an innovative discipline fusing the expertise of established engineering fields, computational sciences, and applied mathematics. It was created in response to an increasing demand for highperformance computing in a variety of scientific and technical fields. Students will be perfectly prepared for the new challenges in simulation and modelling. In addition, it is possible to obtain a MSc degree with the Bavarian Graduate School of Computational Engineering (BGCE, www.bgce.de) or a double degree with KTH, the Royal Institute of Technology in Sweden. An education in Computational Engineering requires an interdisciplinary curriculum. Faculty members from several engineering departments, as well as from the computer science, mathematics and physics departments are in charge of the program. Each of the application fields is carefully adapted to the student’s background, career goals, and research interests. The study plan tailored individually for each student will include adequate course work in: Computer science (e.g. algorithms, software engineering, computer architecture) Mathematics (e.g. two years of engineering mathematics, numerical analysis, numerical linear algebra) An application field from engineering or physical science: in this academic year, thermo- and fluid dynamics, mechatronics, computational optics, mechanics and dynamics, au- tomation and control, and information technology. Because of the interdisciplinary nature of the curriculum, students take courses in subjects outside their area of specialization to prepare them for graduate courses. Graduates of the Computational Engineering program are well prepared for research and development positions in the industry, as well as for an academic career.

Course Duration

NumberDuration
2year

Career outcomes

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M.Sc Computational Engineering University of Erlangen Nurnberg