School of Computation, Information and Technology

Integrated research and degree programs designed for the future: The TUM School of Computation, Information and Technology (CIT) at the Technical University of Munich (TUM) unites the disciplines of Mathematics, Informatics, and Electrical and Computer Engineering. The research and teaching activities range from theoretical knowledge to its application. In line with our mission statement, we focus across disciplines on the major challenges of our time, such as the digital transformation. At the same time, our expertise remains firmly embedded in our core disciplines.

The founding of the TUM School of Computation, Information and Technology is part of TUM's structural transformation. Inspired by its international peers, TUM is transforming its internal structure into a modern matrix organization. In a move away from its traditional, discipline-specific departmental structure, seven schools with a broader focus will be linked by Interdisciplinary Research Centers. In this process, the former departments of Mathematics, Informatics, and Electrical and Computer Engineering will pool their competencies.

Events of the TUM School of Computation, Information and Technology

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News from the TUM School of Computation, Information and Technology

Research |

Interview with Prof. Robert Wille on quantum computing software

Prof. Robert Wille and his team are already developing the quantum computing software of tomorrow today. In October, they are bringing the who is who of the software community together – for a forum to exchange ideas. In this interview, he explains what the forum is all about and what makes Munich such a unique research location.

Research, Studies |

TUM opens Munich Data Science Institute

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.

Awards, Entrepreneurship |

Prize for optimal start-up support

For his committed support of start-ups, Prof. Klaus Diepold, Head of the Chair of Data Processing, has been honored as Unipreneur. TUM was the only university with four representatives at the presentation of the awards, which recognizes outstanding entrepreneurship activities at universities.

Research |

Possibility discovered for more sensitive sensors

Prof. Eva Weig and Dr. Ahmed Barakat from the Chair of Nano and Quantum Sensors are investigating how the parametric amplification effect can significantly expand the functionality of sensors. Possible applications include improved location positioning with microelectromechanical sensors like those used in smartphones.

Research |

Quantum-safe data encryption

The US federal agency NIST has announced a competition calling on developers to submit proposals for new, quantum-resistant encryption standards. Antonia Wachter-Zeh, a Professor of Coding and Cryptography, and other researchers at TUM have submitted two proposals to the competition and feel optimistic about their results.