Computational Engineering

Master of Science; tuition language: German


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

To enlarge / show pdf please click on the picture.
To enlarge / show pdf please click on the picture.
Semesters 4 Semesters
Language German
Start of studies Start of studies : winter semester, summer semester
Admission Applying with international qualifications (language requirements, application deadlines): International Admission .
Requirements for admission to the Master’s degree programmeconsist of a Bachelor of Science degree or Bachelor of Engineering degree in a similar area or in the area of Mathematics, Civil Engineering, Mechanical Engineering, Electrical Engineering and Information Technology, Computer Science or Mechanics, or an equivalent degree. Admission to the Master’s Degree programme may also depend on additional requirements. Specific degree entrance requirements may be found here and in the competences description.
Internship ---
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).

TU Darmstadt Career Service