Program Overview

Program Overview

The Computational Engineering Science master's program examines sustainable economic, ecological, and technical concepts of computer-aided planning and automated operation. Students learn essential methods and technologies of computational engineering and acquire knowledge of engineering. The main areas of the curriculum's focus are simulation, optimization, control engineering, and information science. Teaching and learning are based on experiments, analyses, and design, adopting an interdisciplinary and research-oriented approach.

Program Details

• Degree: Master of Science
• Standard period of study: 4 semesters
• Credit points: 120
• Program start: Summer and winter semester
• Admission: Open admission
• Language of instruction: German

Admission Requirements

As with every master's degree at TU Berlin, a first university degree qualifying for a profession is a formal requirement. The program is taught in German, and applicants with a foreign school-leaving certificate must provide proof of German skills at a specific level. Knowledge of English is useful but not a condition for admission. Students should have an interest in and a willingness to adopt interdisciplinary approaches, as well as initiative and the ability to work independently.

Program Structure

There is a proposed course schedule for the degree program, which is a recommendation for completing the degree within the standard period of study. This schedule is not mandatory but provides an example of how to successfully schedule and shape studies. The current and binding module list can be found in the online module directory.

Study and Examination Regulations

The latest version of the study and examination regulations applies to applicants. Detailed information can be found in the application and admission regulations.

Content and Modules

The Computational Engineering Science master's degree is made up of modules that group the content of the curriculum into specific topics. A current overview of all modules is available in TU Berlin's module transfer system (MTS). Detailed module descriptions provide information on content, learning outcomes, participation requirements, workload, assessment methods, and more.

Internships

A six-week technical, non-university internship is compulsory for this master's program. The internship should focus on the overall processing of a project or provide the opportunity to be involved in a project.

Stays Abroad

Parts of the program can generally be completed abroad, either as semesters abroad or internships. General information concerning stays abroad is available from the TU Berlin International Office.

Acquired Skills

In the master's program, students acquire fundamental knowledge of engineering and computational engineering, as well as the methods required for construction and production research. Students learn to apply and develop the methods of computational engineering science, optimize, automate, and utilize machinery, processes, and procedures in a professional context.

After Your Studies

A wide range of professional fields is open to graduates of this master's program, including planning, design, simulation, optimization, construction, testing, and operation of information processing systems and software in computer-aided engineering (CAE), process and installation engineering, mechanical engineering, automation, and safety engineering. Obtaining a master's also qualifies students for a doctorate and the option of pursuing an academic career.