Computational Engineering (CE)

Bachelor of Science; tuition language: German


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.

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Study Regulations with Semester Course and Examination Schedule

Course Catalogue

Department of Computational Engineering

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Semesters 6
Language German
Start of studies Winter semester
Internship Internships within the study programme
Admission Applying with international qualifications:
Language requirements, required documents
Application deadlines
Online application
Good to know Costs and budget
einfachsTUdieren : Pre-Courses, getting started
Preparatory courses for international students
Minimum requirements by the end of the second semester
Part-time studies

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).

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