Computational Engineering (CE)

Bachelor of Science

Computational Engineering, B.Sc.


Computer-assisted modeling, analysis, and simulation of physical and technical systems in engineering is called Computational Engineering.

The Computational Engineering programme at the Technical University of Darmstadt is interdisciplinary in its approach. It represents the cooperation of the departments and study fields of Mathematics, Mechanics, Civil Engineering and Geodesy, Mechanical Engineering, Electrical Engineering and Information Technology, and Computer Science.

The first four semesters teach the fundamentals of Mathematics, Computer Science, and Engineering involved in this field of study. In their third semester, the students choose one of the following five majors:

Applied Mathematics and Mechanics; Civil Engineering; Mechanical Engineering; Computer Science; Electrical Engineering and Information Technology.

General note: With the Bachelor of Science degree, students acquire a first degree qualifying them for a profession. However, at the Technical University of Darmstadt the Master of Science is the standard degree. Therefore it is recommended that students complete a Master's programme.

Module Handbook

Semester Course and Examination Schedule / Degree Programme Guidelines/Study Regulations

Course Catalogue

Department of Computational Engineering

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Degree Bachelor of Science
Duration 6 Semesters
Language German
Programme Start winter semester
Admission Applying with international qualifications (language requirements, application deadlines): International Admission.
Internship internships within the study programme
Part-time Studies possible under specific conditions
Special Features Online Self-Assessment for selecting a course of study.

Those who would like to study Computational Engineering should initially have a fundamental interest in science and informatics as well as a good understanding of mathematics and physics.
Mathematics – Why? What? What for? Who? How? Where? Further information? You will find answers to these questions here.

Another requirement is the general willingness to think and work in an interdisciplinary manner that is essential not least in the students’ future working life. There, graduates from the field of Computational Engineering often cooperate with mechanical engineers, electrical engineers, computer scientists, civil engineers, mathematicians, and other specialists and have to work with their ideas, suggestions, and views.

Computational Engineering is a future-oriented discipline. The demand for qualified people has risen sharply in the past years and is likely to continue to do so.

Getting startet at university!

On this website you will find orientation and information about the first steps into the study program, important preliminary courses and the orientation week. Get to know the university, ask your questions and find support and advice.

General Information: With the Bachelor of Science, the students will acquire a first professional qualification. However, the Master of Science is considered the standard qualification at Technical University of Darmstadt. For these reasons it is recommended that students complete a Master’s degree.

Please note that admission to the Master’s Degree programme may also depend on additional requirements. This particularly applies to non-consecutive courses of study (meaning with a Bachelor’s degree in a different area of focus or field of study than the desired Master’s degree programme) and to applicants of other universities. If you have any questions, please contact the respective departmental advisor’s office.

Computational Engineering (CE) (M.Sc.)

Computer Science (M.Sc.)

Energy Science and Engineering (M.Sc.)

Mechanics (M.Sc.)

Computational Engineering is applied to everything that addresses the development and exploration of complex technical and scientific systems. Graduates of this subject are much sought after in the industrial sector and as scientists at universities or in research institutions. Due to their interdisciplinary education, they can choose from an extremely varied spectrum of occupations. They may thus find work in the automotive industry (e.g. in the fields of simulating crash behavior or in engine development), in process engineering (e.g. regarding matters of environmental compatibility or the energy use of production plants), in electrical engineering (e.g. for designing electronic components or regarding matters of electromagnetic compatibility), in civil engineering (e.g. for strength calculations or regarding matters of fire safety), or in the field of informatics (e.g. for the development of brain-computer interfaces, modeling learning procedures, or automatic modeling of intelligent robotics).