Computational Engineering Science M.Sc.
- Master of Science
- Start of Studies:
- Winter Semester, Summer Semester
- Standard Period of Studies:
- 3 semesters
- ECTS Credits:
- 90Mehr Informationen
What does that mean?
ECTS are credit points that measure the workload of one's studies.
1st university degree, required qualifications according to P.O.
What does that mean?
A first recognized university degree, through which the necessary education background for the Master course of study can be proven. The necessary knowledge needed in order for studies to be successful is determined in the respective exam regulations (PO).
Proficiency in German
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What does that mean?
You must provide documentation of your language skills for the language of instruction at the time of enrollment. Exam regulations.
Admission to First Semester
Admission to Higher Semesters
Dates and Deadlines
Technical problems are solved for the most part by using computers. The mere availability of more and more powerful computers and the ability to operate them is, however, not enough to master the major scientific-technological challenges of the future. The main difficulty lies in the mathematical presentation – in the modeling – of the technical question to make the challenges accessible to computer processing. Conveying the necessary abilities for this, which of course includes using computing systems in close connection with fascinating applications, is the key aspect of this program.
The Master’s program in Computational Engineering Science is an academic, research-based program that is geared to basic research and methods.
The program allows graduates to pursue successful careers that span their entire working life because the program is not limited to conveying current contents but conveys theoretically substantiated basic concepts and methods that transcend current trends.
The program equips students with the basic principles, concepts and methods of the field. Upon completion of their degree, students should be in a position to handle tasks in various application fields given different technical, economic and social parameters; they can apply the acquired concepts and methods to future developments.
The teaching and learning forms and generic modules specifically prepare students for on the job requirements. The CES Master’s program pursues the following educational objectives:
- Problem solving ability: Graduates are able to systematically analyze complex tasks, to develop and validate solutions. When problems arise they can take suitable measures necessary for the solution. The graduates can also tackle complex issues constructively because they have learned to use systems and methods in the subject area with a specific goal in mind.
- Key qualifications: Interdisciplinarity: in addition to technical skills the graduates can communicate concepts, approaches and results and work on these in a team. They can acquaint themselves with the language and terms of related subjects to corroborate in other subject areas.
The program goals mentioned above will be honed to a higher degree in the Master’s program than in the Bachelor’s program. Specifically with regard to problem solving and leadership skills there is a considerable difference. This means that caliber of the tasks will be different for both degrees once in a job upon completion of the program.
The Master’s program in Computational Engineering Science includes, in addition to CES seminar, a CES lecture series and a Master’s thesis module amounting to 55 credits, which the students choose in consultation with a supervising professor and combine to make an individual program, which must be approved by the course of study advisor and examination board at the beginning of studies. In doing so, one of the following fields has to be selected as the concentration:
- Engineering Sciences
Regardless of the choice of concentration the areas mathematics, informatics and engineering sciences have to be covered. An outline of the degree content is given in the curriculum, which you can find on the faculty overview page of courses of study.
The prerequisite for admission to the program is an initial university degree. The required academic background is described in the exam regulations. The determination on whether or not the admissions requirements are met is made by the examination board.
The Master's Program in Computational Engineering Science is targeted at graduates with a bachelor's degree in the engineering and natural sciences as well as in mathematics who wish to specialize in simulation technologies.
Required Educational Background
- Fundamentals of Mechanical Engineering 25 CP
- Fundamentals of Mathematics / Natural Sciences 37 CP
- Fundamentals of Computer Science 26 CP
- Fundamentals of Simulation Technology 15 CP
- Sum total of CP from the above areas: 130 CP
- Sufficient German skills, e.g. DSH Level 2
- 12 weeks of internship
- Sufficient English skills are highly recommended
For legally binding information on educational requirements, please refer to the examination regulations.
The M.Sc. in Computational Engineering Science is sought after in many branches. Specially trained engineers are required to run computer-assisted procedures in the chemical, automobile and aerospace industries. Moreover, the program qualifies graduates to work not only in engineering science fields, but also in the software industry.
Regulations that apply for all Bachelor and Master courses of study as well as detailed information about the necessary documentation of required language skills can be found in RWTH’s Comprehensive Examination Regulation. Examination regulations are only published in German as they are legally binding.
Subject Specific Exam Regulations regulate academic goals, the course of study layout, and exam procedures. The appendix to the regulations contains the description of the modules, from which the course of study is composed.
The Master course of study in Computational Engineering Science is offered by the Faculty of Mechanical Engineering, the Faculty of Mathematics, Computer Science and Natural Sciences and the Faculty of Georesources and Materials Engineering.