Computational Engineering (CE) (Bachelor of Science)
(Computational Engineering, B.Sc.)
|Degree: Bachelor of Science|
|Duration: 6 semesters|
|Internship: internships within the study programme|
|Requirements for Admission: Entrance qualification for higher education, entrance qualification for universities of applied sciences, similar foreign diplomas; further information|
|Admission Procedure: unrestricted|
|Part-time Studies: possible under specific conditions|
|Programme Start: winter semester|
|Application Deadline: International applicants find their application deadline here.|
|Application: Online application|
|Special Features: —|
Computer-assisted modeling, analysis, and simulation of physical and technical systems in engineering is called Computational Engineering. In the recent past, computer simulation has taken root – besides the classical methods of theory and experiment – as the third way of gathering scientific knowledge.
The Computational Engineering (CE) programme at the TU 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.
In the first four semesters, the students first acquire the fundamentals of Mathematics, Computer Science, and Engineering involved in this field of study. In view of the concluding year of study, meaning semesters five and six, the students choose one of the following five majors in the course of their fourth semester:
- Applied Mathematics and Mechanics
- Civil Engineering
- Mechanical Engineering
- Computer Science
- Electrical Engineering and Information Technology
In line with the respective major, it is mandatory that the students attend a preparatory fundamental course in their fourth semester. The contents of the internship to be completed in the area of focus and the concluding Bachelor’s Thesis are dependent on the chosen major, as well.
Advice for Prospective B.Sc. Students
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.
Related Degree Programmes
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 TU 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.) (Informatik, 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).
TU Darmstadt's offer of Job Shadowing is a quick and simple method of career orientation by accompanying professionally experienced TU Darmstadt alumni for one day.
Further information about career opportunities on the German job market may be found on the following websites:
Verband der Elektrotechnik Elektronik Informationstechnik (VDE) (Association for Electrical, Electronic & Information Technologies)
Verein Deutscher Ingenieure (VDI) (The Association of German Engineers)
Gesellschaft für Informatik (GI) (German Informatics Society)
Deutsche Mathematiker-Vereinigung (DMV) (German Mathematicians’ Association)
Hauptverband der Deutschen Bauindustrie (HDB) (Central Association of the German Construction Industry)
Verband Deutscher Maschinen- und Anlagenbau (VDMA) (German Mechanical and Plant Engineering Association)