Computational Engineering (Master of Science)
(Computational Engineering, M.Sc.)
|Degree: Master of Science|
|Duration: 4 semesters|
|Requirements for Admission: Requirements for admission to the Master’s degree programme (and thereby university enrollment) consist 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. For further questions please contact the departmental student advisory service. Please also note the general information on Master’s Degree programmes, including information for students with degrees from universities abroad: International Admission.|
|Admission Procedure: As long as the requirements for admission (Entrance Requirements Verification) are fulfilled, there is no restriction on admission.|
|Part-time Studies: possible under specific conditions|
|Programme Start: winter semester or summer semester|
|Application Deadline: International applicants find their application deadline here.|
|Application: Online application|
|Special Features: TU Darmstadt offers a Double Degree Programme at a partner university for this course.|
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.
The Master of Science degree programme in Computational Engineering is divided into four areas, as follows:
1. The General Methodical Area deals with the fields of “Modelling, Theoretical Fundamentals”, “Applied Mathematics” (Numerics, Statistics, Optimisation) and “Applied Computer Science”. Relevant courses from these three applied areas will be chosen from the elective course catalogue.
2. The Discipline Specific Methodical Area introduces a focused specialisation on one applied area into the degree programme. Students choose modules from the following departments: Mathematics, Mechanics, Civil Engineering and Geodesy, Mechanical Engineering, Electrical Engineering and Information Technology, or Computer Science.
3. The Application Specific Area is designed to provide a specialisation in one applied area. Besides the fields of Civil Engineering and Geodesy, Mechanical Engineering, Electrical Engineering and Information Technology and Computer Science, students may also choose from the general applied areas of Computational Robotics, and Fluid Flow and Combustion.
4. The Master’s Thesis is the final component of the degree programme. This semester-long, independent research project is an essential part of the Master’s degree programme.
Advice for Prospective M.Sc. Students
While the Bachelor of Science focuses mainly on the fundamentals of the field, the Master of Science builds directly on this foundation by providing students with more depth and breadth scientifically and more insight into the field. In contrast to the Bachelor degree programme, the Master of Science enables and requires students to adopt their own major focus and to work towards their own independent academic, scientific research profile.
For these reasons it is recommended that students complete a Master of Science degree.
Related Degree Programmes
|Civil Engineering (M.Sc.) (Bauingenieurwesen, M.Sc.)|
|Computational Engineering (B.Sc.)|
|Energy Science and Engineering (M.Sc.)|
|Electrical Engineering and Information Technology (M.Sc.) (Elektrotechnik und Informationstechnik, M.Sc.)|
|Geodesy and Geoinformation (M.Sc.) (Geodäsie und Geoinformation, M.Sc.)|
|Computer Science (M.Sc.) (Informatik, M.Sc.)|
|Information Systems Technology (M.Sc.) (Informationssystemtechnik, M.Sc.)|
|Information and Communication Engineering (M.Sc.)|
|Mathematics (M.Sc.) (Mathematik, M.Sc.)|
|Mechanical Engineering- Mechanical and Process Engineering (M.Sc.) (Maschienenbau, M.Sc.)|
|Mechanics (M.Sc.) (Mechanik, M.Sc.)|
|Mechatronics (M.Sc.) (Mechatronik, M.Sc.)|
|Environmental Engineering (M.Sc.) (Umweltingenieurwissenschaften, M.Sc.)|
Upon successful completion of a Master of Science degree, there is the opportunity to begin working towards a Ph.D. either at the TU Darmstadt or at another national or international university. Further information on doctoral studies at TU Darmstadt:
Ingenium – Young Researchers at TU Darmstadt (umbrella organisation for promoting early career researchers)
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'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 of Electrical Engineering, Electronics and Information Technology)
Verein Deutscher Ingenierure (VDI) (Association of German Engineers)
Gesellschaft für Informatik (GI) (German Association for Computer Science)
Deutsche Mathematik-Vereinigung (DMV) (German Society for Mathematics)
Hauptverband der Deutschen Bauindustrie (HDB) (Main Association of the German Construction Industry)
Verband Deutscher Maschinen- und Anlagenbau (VDMA) (German Machinery and Plant Engineering Association)