Computational Engineering

Master of Science; tuition language: German

The following English language content is for information purposes only. The legally binding content can be found on the corresponding German website.


The interdisciplinary degree programme Master of Science in Computational Engineering (CE) deals with the modelling and simulation of technical and physical systems. Courses in mathematics, mechanics, civil engineering and geodesy, mechanical engineering, electrical engineering and information technology, and computer science in the field of computational engineering sciences will also be included in the programme. A comprehensive selection of elective courses in each area as well as a specialisation in a specific applied subject allow the incorporation of individual student interests. A mentoring system supports each student during this process. It is also possible to spend a semester abroad studying or working towards the Master’s thesis.

Module Handbook (opens in new tab)

Study Regulations with Semester Course and Examination Schedule

Course Catalogue

Department of Computational Engineering

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Semesters 4
Language German
Start of studies Winter semester, summer semester
Internship ---
Admission requirements 1. A degree B.Sc. Computational Engineering of TU Darmstadt (reference programme) or an equivalent degree

2. Additional requirements:
Study regulations
Competences description

3. Please take note:
General information on applying to a master's degree programme
Formal and language requirements for applicants with international qualifications
Admission procedure Provided that the admission requirements (entrance examination) are met, there are no numerical admission restrictions.
Application Applying with international qualifications:
International Admission
Good to know Costs and budget
Preparatory courses for international students
einfachsTUdieren : Pre-Courses, getting started
Part-time studies
Doctoral Studies

Computational Engineers are employed in areas dealing with the development and investigation of complex technical and natural science systems. Graduates in this area are very much in demand in industry, as well as in research positions at universities or research institutes. The interdisciplinary nature of the programme gives graduates a wide range of potential career options. Some of these options include; the automotive industry (e.g. in crash behaviour simulations or aggregate development), in process technology (e.g. in issues of environmental sustainability or energy consumption of production facilities), in electrical engineering (e.g. in design of electronic equipment or in issues of electromagnetic compatibility), in civil engineering (e.g. strength calculation or fire safety issues) or in computer science (e.g. development of brain-computer interfaces, modelling of learning processes and automatic modelling of intelligence in robotics).

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