Mathematics in Science and Engineering

The Mathematics in Science and Engineering Master’s program is tailored to students with an interest in a demanding mathematical education and training with a special focus on questions of engineering and the natural sciences. The fundamental specialties of mathematics are therefore of central importance, including mathematical modeling, numerical analysis, applied analysis, stochastic processes and computer science. These are complemented by an applied field such as physics, structural mechanics, fluid mechanics or biomedical engineering. A solid knowledge of the basics of the chosen field is conveyed, such that students are prepared for working in interdisciplinary teams. For a comprehensive description of the program, please refer to the degree program documentation: Degree program documentation for the Master’s program in Mathematics in Science and Engineering (PDF, German) Which further expertise and skills will I acquire? As a graduate you can mathematically model questions of engineering and the natural sciences, mathematically analyze these so as to take into consideration the engineering context and convey the results to fellow team members in a manner that is comprehensible across disciplines. In addition to acquiring a deeper knowledge of mathematical core subjects and the chosen applied field, you will also have been able to broaden your portfolio of cross-disciplinary soft skills. Which professional opportunities can I take up with this qualification? As a graduate of the Mathematics in Science and Engineering master's program, you are ideally prepared for entry into interdisciplinary professional fields in the software and technology sectors. Further opportunities arise in the development departments of diverse companies or in research institutes dealing with engineering and the natural sciences. Program structure The core of the master's program consists of a broad vocational education and training in the subject areas of mathematical modeling, numerical analysis, applied analysis, optimization, stochastic processes and computer science. You complement these with an applied field that you choose with the support of a student academic advisor. The flexible structure of the program makes it easier to study abroad for one or two semesters at a TUM partner university. The degree concludes with the master’s thesis in the forth semester. Language of instruction Required language skills for admission: You need sufficient English language skills if you wish to apply for this program. Evidence of your language proficiency has to be submitted before the end of the application deadline. Learn more about recognized certificates and other ways to prove your language skills. This evidence of your language proficiency confirms that you comply with the minimum language requirements for admission to the program. Depending on the program and your individual background, it may be necessary for you to keep working on your language skills during your studies. Be sure to take a look at the services of our Language Center . Language of instruction: The language of instruction for this program is English. Information on study organization Information on exams Information on studying abroad Information on internships Fees for the program The tuition fees for international students from third countries for this degree program are 6,000 euros per semester . Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here. Please note: The semester fee as a contribution to the student union must be paid additionally. It varies depending on where you are studying. You can find all information on the semester fee here. Academic Regulations:

• Times Higher Education 2026#27
• Times Higher Education 2025#26
• QS World 2025#28
• QS — Engineering 2025#16