In the Computational Engineering Science master’s program you examine sustainable economic, ecological, and technical concepts of computer-aided planning and automated operation. You learn the essential methods and technologies of computational engineering and acquire a 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 and adopt an interdisciplinary and research-oriented approach. Technical content is supplemented with material relating to other applications of engineering as well as non-technical subject areas. This will enable you to acquire an extensive understanding of the computational engineering issues and phenomena of mechanical engineering, process engineering, and their related disciplines. You will also gain an all-round understanding of technical, economic, ecological, legal, and social aspects of computational engineering science.As with every master’s degree at TU Berlin, a first university degree qualifying you for a profession is a formal requirement of studying on the Computational Engineering Science master’s program. Detailed information can be found in theapplication and admission regulations/study and examination regulations for the degree program. Until legal validity of the application and admission regulations (estimated to start for the admission of winter semester 2019/20) the following rules apply.The Computational Engineering Science master’s program is taught in German. If you are applying with a foreign school-leaving certificate, you must provide proof of German skills at a specific level. This is a prerequisite for admission. Knowledge of English is useful, as some courses/modules may be offered in English and much of the technical literature in this field is published in English. However, it is not a condition for admission to studies.As the curriculum addresses complex interdisciplinary issues, you should have an interest in, and a willingness to adopt interdisciplinary approaches. Initiative and the ability to work independently are also important for this master’s program.There is a proposedcourse schedulefor the degree program. This is a recommendation for how to complete the degree program within the standard period of study of four semesters. It provides an example of which modules to take in which semesters. 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.You can find the proposed course schedule in the study and examination regulations. The latest version of these regulations always applies to applicants. The module list in the appendix to the StuPO is constantly updated, but cannot be changed here. The current and binding module list can be found in theonline module directory.Study and examination regulations:Computational Engineering Science (Informationstechnik im Maschinenwesen) M.Sc. 2018(pdf, 2 MB, German)Informationstechnik im Maschinenwesen - Computational Engineering Science M.Sc. 2008(pdf, 520 KB, German)The Computational Engineering Science master’s degree is made up of modules which group the content of the curriculum into specific topics and which often include various forms of study and teaching. A current overview of all modules is available in TU Berlin’s module transfer system (MTS). This database of modules provides an overview of which modules are compulsory and which are elective. Detailed module descriptions provide information on the content, learning outcomes, participation requirements, the workload, assessment methods, and much more: The module catalogue is based on the study and examination regulations. The latest version of these regulations applies to applicants.To module database