The School of Computation, Information and Technology at the Technical University of Munich combines the three traditional disciplines Mathematics, Informatics, and Electrical and Computer Engineering. In this way, it enables the rapid and efficient development of new areas of innovation in research and teaching beyond the boundaries of the individual disciplines. This results a wide range of highly diverse competencies:

  • from theoretical fundamentals to practical implementation,
  • from basic components to hardware and software architecture to complete technical systems,
  • from mathematical abstraction to the technological process,
  • from formal specification to partially automated implementation.

We are working on the abstract representation, analysis, modeling and simulation of structures and processes. Our school is a driving force behind the solutions to the numerous challenges we currently face as a society. It brings together in a single entity all the core competencies of digitalization in its broadest sense – in digital technologies and beyond.


Department of Mathematics

Department of Computer Engineering

Department of Computer Science

Department of Electrical Engineering

Active in Integrative Research Institutes and Living Labs

Additionally, we contribute our expertise to specific areas of research and innovation, mainly in the framework of Integrative Research Institutes and Living Labs, such as the Munich Institute of Robotics and Machine Intelligence, the Munich Data Science Institute or the TUM Living Lab for Connected Mobility. Here, we work together with scientists and students from other TUM schools and leading international researchers on groundbreaking technologies, such as robotics, machine learning and high-performance computing.

News from research

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Team around Prof. Fabian Theis creates first integrated single-cell atlas of the human lung

International researchers have developed the Human Lung Cell Atlas, using artificial intelligence (AI)-based techniques. This atlas elucidates the…

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Team led by Prof. Julien Gagneur develops new model to predict hereditary diseases

Under the leadership of Julien Gagneur, Professor of Computational Molecular Medicine, a Munich research team has developed an algorithm that is…

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Prof. Bernhard Seeber speaks in BR podcast

What does the cell phone speaker have to do with current pop music? Bernhard Seeber, Professor of Audio Information Processing, was a guest on the…

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Prof. Darius Burschka calculates collusion risks

Preventing accidents by computing collisions of drones or cars: that is the goal of Darius Burschka, professor at the Chair of Robotics, Artificial…

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Mini-Workshop on Positive Geometry

Combinatorics and algebraic geometry are linked to particle physics and cosmology in completely unexpected ways. This challenges our current…