Teaching
As one of TUM's Integrative Research Institutes, the MDSI also has an educational mission. It is home to the Interdisciplinary Study Program (ISP) Big Data, a newly established format at TUM that bundles and strategically plans the respective teaching activities across disciplines and faculties. The MDSI focuses on the development of innovative formats that cover both methodological basics and state-of-the-art applications across departments and faculties.
In addition, TUM offers numerous study programs for Master's and Bachelor's students in the field of data science.
Master's Programs
Bioinformatics is offered jointly by TUM and Ludwig-Maximilians-Universität (LMU). It offers a great deal of freedom for individual specialization within the subject area.
Biomedical Computing (BMC) aims to further develop existing diagnostic and treatment options in medicine through innovative software solutions and imaging procedures.
Biomedical Engineering and Medical Physics focuses on the application of new research-driven scientific principles in medicine and the life sciences.
Biomedical Neuroscience aims to teach the theory and practice of neuroscience as well as the basics of neuropsychiatric disorders.
Computational Mechanics combines theoretical and applied mechanics as well as computer science, software engineering and applied mathematics.
Computational Science and Engineering (CSE) combines applied mathematics, computer science and scientific or technical applications.
Data Engineering and Analytics deals with innovative solutions for handling and analyzing very large amounts of data.
Elektrotechnik und Informationstechnik deepens existing factual and methodological knowledge and offers the opportunity for professional specialization.
ESPACE - Earth Oriented Space Science and Technology operates at the interface between space travel and the scientific and engineering use of satellite data.
Finance and Information Management (FIM) offers the opportunity to study the unique combination of finance and information management.
Informatics broadens and deepens existing knowledge and offers the opportunity for individual specialization.
Mathematics in Data Science combines a top-class education in mathematics with a focus on the emerging field of big data.
Mathematics in Operations Research deals with mathematical optimization and other areas of applied mathematics.
Mathematics in Science and Engineering combines a broad education in mathematics with an applied subject such as physics, structural mechanics, fluid mechanics or medical technology.
Mechatronics and Robotics is aimed at anyone interested in intelligent and digitally networked systems and highly developed smart robot systems.
Robotics, Cognition, Intelligence combines various engineering disciplines such as mechanical and electrical engineering with computer science.
Software Engineering prepares graduates to take on responsible tasks in research and industry as technology experts or decision-makers.
Business Informatics is both theoretically sound and practice-oriented, and prepares students specifically for demanding careers with an IT focus.
Bachelor's Programs
Bioinformatics is offered jointly by TUM and Ludwig-Maximilians-Universität (LMU). It combines computer science with molecular biology, biochemistry and genetics.
Electronics and Data Engineering aims to equip students with the necessary skills and competencies for the emerging digital world of work.
Electrical engineering and information technology provides a comprehensive scientific spectrum of methodological foundations for professional qualification or a further Master's degree.
Informatics teaches solid theoretical, practical and technical skills.
Engineering Science provides a broad basic knowledge in the field of engineering as well as in-depth mathematical and scientific knowledge.
Business Informatics combines computer science and business administration.