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Technical University of Munich

News and Events

Here you can find information on current events and news of the TUM School of Computation, Information and Technology (CIT).

News for Students

Studies |

With the StudyPlanner, you can easily plan the courses for your math degree program in the summer semester of 2024 and all subsequent semesters. You automatically get a study plan that is individually generated according to your wishes. All rules of your study program are directly satisfied. The…

Studies, School |

For the eighth time, highly motivated coders gathered at "hackaTUM" to work on exciting future-oriented projects with leading industry partners.

Research, Studies |

The Technical University of Munich (TUM) is celebrating the official launch of the Munich Data Science Institute (MDSI). As an integrative research institute, MDSI will pool the expertise of more than 60 professors in the fields of data science, machine learning and artificial intelligence.

Studies |

In the future, master's students from both universities will be able to obtain a master's degree in Data Science at the University of Queensland in addition to their degree in Informatics at TUM. The aim of the double degree programs is to incorporate the strengths of the study programs of the…

Studies |

The chair for Human-Centered Technologies for Learning (Prof. Enkelejda Kasneci) offers a course on "AI-assisted writing: the new way to get ahead" as part of the TUM Project Weeks.

News from the School

Ranking |

The Technical University of Munich has risen to 22nd place worldwide in the prestigious QS World University Ranking, making it one of the global top 25 for the first time. Within the European Union, TUM is now ranked as the number one university.

School |

TUMCREATE celebrates its 15th anniversary in Singapore. Since 2010, the TUM research institution has stood for innovation and collaboration. The celebrations were also attended by Science Minister Markus Blume and TUM President Prof. Thomas F. Hofmann.

Research, Awards |

The European Research Council (ERC) has awarded Advanced Grants to two professors at the TUM School of Computation, Information and Technology (CIT): Martin Bichler for his project ELUD on equilibrium algorithms and Massimo Fornasier for NEITALG on optimization algorithms.

Ranking |

Technical University of Munich ranks among the world’s top digital universities: 7th place in the "Digital Leaders in Higher Education" ranking, and 4th place in Computer Science and Digital Entrepreneurship.

New@CIT |

Deniz Kus has been professor of Representation Theory at the TUM School of Computation, Information and Technology (CIT) since April 2025. In our “New@CIT” series, he reveals the areas in which his research is impactful, what he is most looking forward to in his new position and much more.

News from Research

Research |

Researchers from TUM Professor Angela Schoellig's Learning Systems and Robotics Lab have developed a wheeled robot that makes its way through a crowd of people safely and without hesitation. Similar algorithms could also be used for humanoid robots or autonomous driving to enable safe interaction between robots and humans.

Research |

TUM robotics professor Achim Lilienthal and researchers at the University of Cologne have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints.

Research |

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Felix Dietrich, a professor of Physics-enhanced Machine Learning, and his team developed a method that is 100 times faster and therefore much more energy efficient.

Research |

Sarah Rachut was honored by academics and ZEIT Verlag for her outstanding achievements. Together with CIT Adjunct Professor Dirk Heckmann, Professorship for Law and Security in Digital Transformation, the young doctoral researcher demonstrated how law can be used to shape the digital transformation.

Research |

Machine learning methods can be used to draw conclusions about the function and health of cells. Researchers at the Technical University of Munich and Helmholtz Munich have now tested self-supervised learning on 20 million cells or more. A promising approach.

Events

Event and News Archive

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