Our goal is to use AI and Machine Learning to expand the boundaries of what is possible today. To this end we support outstanding and creative pioneers in these fields.
Our researchers develop new methods, theoretical principles and applications of Artificial Intelligence, for example autonomous vehicles, robots and medical technologies – on an interdisciplinary basis and across all School boundaries. We also investigate the associated societal impacts and contribute to the establishment of basic ethical prerequisites. This includes dialog with policy makers and the public, whom we integrate and provide with transparent information. We pursue international exchange in collaboration with institutions and universities around the world in joint research projects and programs supporting talented young researchers.
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Start-ups in TUM Venture Labs in 2023
Our facilities focusing on AI
AI and Machine Learning (ML) are anchored at a large number of TUM research institutes and alliances: The broad research spectrum includes such diverse fields as medicine, construction and robotics, and is supported by a modern and constantly growing infrastructure. We have also established facilities in instruction and curriculum which promote the progress of new digital teaching and learning formats and the use of AI.
In addition we specifically support an entrepreneurial mindset and spin-offs in the fields ML, AI and Data Sciences. Our wide range of entrepreneurship services accompanies both employees and students in their entrepreneurial projects. They benefit in particular from an international network of highly-qualified experts, consultants and alumni.
Research and Innovation
Munich Data Science Institute (MDSI)
The integrative research institute brings people and ideas together on an interdisciplinary basis as a central interface and innovation platform for questions and solutions from Data Sciences, ML and KI.
The MCML is one of six federally funded AI Competence Centers in Germany. Here experts from TUM, LMU and other scientific institutions conduct research with a strong focus on real applications.
Konrad Zuse School of Excellence in Reliable AI (relAI)
Led by TUM and LMU, relAI concentrates on the reliability of AI technologies. relAI is a part of a major network of industrial partners and international research facilities.
This collaboration between the University of Augsburg (UNIA) and the Munich School of Philosophy (HFPH) connects philosophical and social sciences aspects in the development of AI technologies.
Georg Nemetschek Institute AI for the Built World (GNI)
Digital solutions for the preservation of buildings and infrastructure: The TUM Georg Nemetschek Institute AI for the Built World promotes research and teaching on AI in the construction industry.
Munich Institute of Robotics and Machine Intelligence (MIRMI)
MIRMI consolidates a wide variety of expertise ranging from information sciences to the social sciences. The objective of the Institute is to create intelligent solutions which interact with humans in a sustainable and responsible manner.
This teaching and learning platform offers AI-driven features for PhDs, Postdocs and Master's students, including templates for online tests and programming assignments.
Our students are actively involved in a wide variety of topics: The Student Clubs TUM.ai, Phoenix Robotics, Falcon vision, Techlabs and iGEM Software Team focus on AI and ML.
The potential of ChatGPT is a controversial topic: How can it be used to support teaching in practice? The Pro Lehre | Media and Didactics institute provides advice and support with assistance and training material.
The TUM Institute for LifeLong Learning offers certificate programs for executives and professionals in all career phases – including on the topics Technology and AI.
AI is finding its way into more and more areas of everyday life. This brings about numerous challenges, e.g., regarding participation, transparency, regulation, or the labor...
Master of Science (M.Sc.)
Automotive Engineering
The automotive industry is of the utmost importance both nationally and internationally. The industry and its products are changing rapidly. Students in this program learn to...
Master of Science (M.Sc.)
Data Engineering and Analytics
“Big Data” is the driving force behind groundbreaking developments – from machine learning to autonomous vehicles and biotechnology. Students in this program learn to manage,...
Master of Science (M.Sc.)
Development, Production and Management in Mechanical Engineering
For movers and shakers!
You are fascinated by the whole product development process and you want to expand your method knowledge in management, take a leading position in a...
Master of Science (M.Sc.)
Electrical Engineering and Information Technology
The scientifically oriented Master’s program in Electrical Engineering and Information Technology builds upon existing factual and methodological knowledge and offers the...
Bachelor of Science (B.Sc.)
Electrical Engineering and Information Technology
Industry 4.0, chip design or AI – innovations to solve key challenges are unthinkable without Electrical Engineering and Information Technology. Students on the course learn to...
Bachelor of Science (B.Sc.)
Informatics
The bachelor’s program in Informatics cultivates solid theoretical, practical and technical skills. The program therefore offers the best qualification for working in a field that...
Master of Science (M.Sc.)
Informatics
The Master’s program in Informatics broadens and deepens your existing knowledge. In addition, it offers you the opportunity to individually specialize in one or more...
Bachelor of Science (B.Sc.)
Informatics: Games Engineering
The bachelor’s program in Informatics: Games Engineering combines a thorough grounding in informatics and mathematics with comprehensive knowledge of game technologies.
Master of Science (M.Sc.)
Informatics: Games Engineering
The master’s program in Informatics: Games Engineering expands upon your existing knowledge and allows individual specialization.
Bachelor of Science (B.Sc.)
Information Engineering (at TUM Campus Heilbronn)
The Bachelor's program in Information Engineering at TUM Campus Heilbronn conveys the knowledge and skills necessary to design holistic IT systems from the sensor to the business...
Bachelor of Science (B.Sc.)
Information Systems
The bachelor's program in Information Systems combines informatics and business administration.
Master of Science (M.Sc.)
Information Technologies for the Built Environment
With the increasing digitalization, specialists are needed to connect recent developments in information technologies with building, civil, and architectural disciplines at any...
Master of Science (M.Sc.)
Mathematical Finance and Actuarial Science
The Mathematical Finance and Actuarial Science master's program provides a demanding vocational education and training in finance and actuarial science.
Master of Science (M.Sc.)
Mathematics in Data Science
The Master’s degree program Mathematics in Data Science combines a high-profile education in Mathematics with an emphasis on the burgeoning areas of Data Science and Artificial...
Bachelor of Science (B.Sc.)
Mechanical Engineering
You are fascinated by technology and the technical progress? You enjoy discovering new developments? Then learn how to bring robots to life, how to print medical implants in 3D,...
Master of Science (M.Sc.)
Mechanical Engineering
A Master made to measure!
You are fascinated by technology and its interdisciplinary developments? In this Master Degree Course you can take your knowledge to the next level,...
Master of Science (M.Sc.)
Mechatronics, Robotics and Biomechanical Engineering
A Program for Border Crossers! Are you ambitious to develop intelligent and digitally networked systems and sophisticated, smart robot systems? You value the interdisciplinarity...
Master of Science (M.Sc.)
Robotics, Cognition, Intelligence
The Master’s program in Robotics, Cognition, Intelligence is unique in Germany. It combines various engineering disciplines, such as mechanical and electrical engineering, with...
Entrepreneurship and Society
TUM Venture Labs
The innovation centers support researchers and students on their way to founding start-ups in the Deep-Tech fields AI/Software and Robotics, among others.
A large number of start-up founders from TUM have already launched their own companies with AI applications and software services in a variety of fields.
With its interdisciplinary task force on generative AI, the TUM Think Tank provides guidance to industry and society regarding possible scenarios for use.
OpenAI founder Sam Altman and developer Johannes Heidecke visited TUM in 2023 to talk about the future of ChatGPT. The event was moderated by Reinhard Heckel, Professor for Machine Learning at the School of Computation, Information and Technology.
Latest news
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