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Computational Engineering Science (Informationstechnik im Maschinenwesen), B.Sc.

Program overview

Information technology today supports nearly all technical systems, whether in cars, the home or in production. Computational engineering science is the science of the development and ap-plication of information technologies for the construction, optimization, and automation of ma-chines as well as processes and production plants. In the engineering industry, information tech-nology functions on two levels: the incorporation of information-processing components into products and processes and the deployment of computers in production engineering, energy engineering, and process engineering. The Computational Engineering Science bachelor’s pro-gram is conceived as an interdisciplinary program bringing together information technology and mechanical engineering or energy engineering and process engineering. The broad-based curric-ulum addresses areas of mathematics, engineering, and information technology and as such provides you with the necessary technical principles for a thorough understanding of technologi-cal processes and the contexts in which they operate.

DegreeBachelor of Science
Standard period of study 6 semesters
Credit points180
Program start Summer and winter semester
Admission Open admission
Language of instruction German

Admission requirements

As for every other bachelor’s degree program at TU Berlin, applicants must possess a university entrance qualification certificate to apply. Generally, the Abitur serves as the university entrance qualification certificate. You can, however, also study at TU Berlin without a university entrance qualifi-cation certificate if you can demonstrate certain professional qualifications.

The bachelor’s program in Computational Engineering Science is taught in German. If you are ap-plying with a foreign school-leaving certificate, you must provide proof of German skills at a spe-cific level. This is a prerequisite for admission. Some technical courses in the compulsory part of the curriculum are offered in English. Knowledge of English is, therefore, useful. In subsequent stages of your studies knowledge of English will be indispensable.

You should ideally have a basic knowledge of and interest in mathematics, engineering and com-puter science as these subjects make up a large part of the content of the curriculum. As such it could be beneficial to have taken these subjects as advanced courses in school.

Program structure

There is a proposed course schedule for the degree program. This is a recommendation for how to complete the degree program within the standard period of study of six semesters. It provides an example of which modules to take in which semesters. You can find the proposed course schedule in the study and examination regulations. While this proposed course schedule is ideal on paper, it is not mandatory. It’s simply an example of how to successfully schedule and shape your studies.




Content and modules

The bachelor’s degree program in Computational Engineering Science is modular in design. A module combines curriculum content relating to a certain topic. Modules often include various study and teaching formats such as lectures, practical tutorials, seminars, and practical projects. Students are required to earn a specific number of credit points and complete certain course-work and assessments in each module.

A current overview of all modules in the Computational Engineering Science bachelor program is available in TU Berlin’s module transfer system (MTS). The MTS also provides an overview of which modules are mandatory for your degree program and which are elective. Detailed module descriptions provide information about the contents of modules, learning objectives, participa-tion requirements, workload, types of assessment, etc. The module catalogue is based on the study and examination regulations. The most current version of these regulations applies to new students.

To module database

Internships

You are required to complete two non-university internships in the program: a six-week pre-internship and a 12-week professional internship. You are strongly advised to complete the pre-internship before starting the program.

The advanced internship takes place during the program. Further information is available in the program’s internship regulations.


Stays abroad

Parts of the program can generally be completed abroad, either as semesters abroad or intern-ships. General information regarding stays abroad can be obtained from the TU Berlin International Office (studying abroad) and from the Career Service (internships abroad).

Acquired skills

In the Computational Engineering Science bachelor’s program you learn to apply information-processing methods and processes to technical applications. You are able to identify and evalu-ate physical, mathematical, and technical interrelations in the further development of construc-tion, production, and process engineering through the application of information processing as well as identify the influences of these interrelations on technology and the environment and their mutual relationships. You will also acquire the necessary skills to understand and influence rapid technological change in research and application.


After your studies

Upon successfully completing the Computational Engineering Science bachelor’s degree, you can extend your technical knowledge and specialization by doing a master’s degree in Computational Engineering Science or a master’s degree in Automotive Systems (both at TU Berlin), or you can directly begin your professional career. The range of career options for graduates is wide. Typical areas of work can be found

•   in industry, in the research, construction, development and testing of processes in systems or software packages with information-processing systems between sensors and actuators or in the area of computer-aided design and computer-integrated manufacturing,

•   in medicine, meteorology, environmental protection, and geology,

•   in engineering offices, in the development and construction of information-processing systems in production, process plants, and supply facilities,

•   in research institutes,

•   in public offices, in the inspection and approval of information-processing equipment and plants in terms of safety and environmental improvement.

Further information & downloads

Guidance and choosing the right degree program: Academic Advising Service

Questions about the degree program: Course Guidance

General questions: Student Info Services

Application and enrollment: Office of Student Affairs - Undergraduate Admissions

Recognition of previously acquired credits: Examination Board

Recognition of previous internships or vocational trainings: Internship Officers