Computational Engineering Science M.Sc.

 

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.

 

Degree Content

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
• Informatics
• Mathematics

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.

 

Prerequisites

A prerequisite for starting studies in a first university degree, with which the necessary background education can be proven, as determined in the exam regulations. The exam board determines whether it fulfills the entrance requirements. On the faculty website you can find detailed information on how to apply.

 

Career Prospects

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.

 

Module Handbook and Examination Regulations

The module handbook provides a description of all modules of a degree program and offers a comprehensive insight into the program contents.

The examination regulations are comprised of legally binding provisions on learning objectives, prerequisites for study, the course structure and processes, and examination procedures.

Regulations that generally apply to all Bachelor's and Master's degree programs, including information on language proficiency requirements, can be found in RWTH's General Examination Regulations. These general regulations are further specified and complemented by the subject-specific examination regulations.

If two examination regulations are valid for a degree program during a transition phase, the most current version shall apply to students enrolling in the program for the first time.

Please note that only the German examination regulations are legally binding.

Module Handbook
Subject Specific Examination Regulations
RWTH's General Examination Regulations

 

Faculty

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.