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Technical University of Munich

MDSI – Shaping the Future with Data

The Munich Data Science Institute

The digital revolution is transforming societies, economies, and even science and its paths to knowledge. At the Munich Data Science Institute (MDSI), we are anticipating, accompanying and shaping this change.

We are TUM’s central interface and innovation hub for questions and solutions arising from Data Science, Machine Learning and Artificial Intelligence. We are connecting people and ideas across disciplines.

Munich Data Science Institute
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Calls & Positions

| Doctoral Fellowship, Call

MDSI Doctoral Fellowships: Call Closed

The last call for applications has closed. Currently, there are no offers for new doctoral fellowships.

Upcoming Events for Doctoral Researchers

| Event

Anniversary Lecture: 2,500 Years of Cryptography

As the new semester begins, TUM students can look forward to a special highlight: On October 8, 2026, at 11:00 a.m., the TUM School of Computation, Information and Technology…

| TUM Venture Labs, TUM Venture Labs, PhD Program, Module Entrepreneurship, Event

Energy Launchpad Award

The Energy Launchpad Award turns DACH energy innovation into successful companies - helping research-driven teams move toward company creation and giving startups direct…

| PhD Program, Module Research, Event

Research Data Management

This course aims to provide the knowledge and tools necessary for efficient data handling throughout any research project. Participants will explore strategies for data…

Data Services

nfdi - National Research Data Infrastructure
Logo SLICES DE

For students

Logo TUM Data Innovation Lab

News

News |

How a Startup is making AI faster and more sustainable

The capabilities of artificial intelligence (AI) are growing rapidly; at the same time, energy consumption and costs are rising. This is where Pruna AI comes in: The startup develops highly efficient and cost-effective AI models. The goal is to keep AI accessible to researchers and businesses,…

News |

TUM also ranks among the world’s top 25 in the THE rankings

The Technical University of Munich (TUM) has continued to climb in the Times Higher Education (THE) rankings and is now among the world’s leading 25 universities. It had previously entered the top 25 in the QS rankings as well. Within the European Union, TUM is the number 1 in both of these…

News |

Digital government works – when people use it

81 percent of those who most recently dealt with a government matter digitally were satisfied. Yet only 15 percent say a modern digital government meets their expectations. One reason: only one in four people can complete the process entirely online, and many are unaware of available digital…

News |

Soft exosuit makes it easier to stand up

Getting up from a chair can be difficult for older people, often due to declining strength and coordination in the hip and leg muscles. To help with this, researchers at the Technical University of Munich (TUM) have developed a soft, lightweight suit that assists hip extension using artificial…

News, Top |

An inspiring afternoon at the second SAP Pitch Talks with MDSI and relAI

On September 22, researchers from relAI, MDSI, and our industry partner SAP came together at the SAP Labs Munich Campus in Garching for the second edition of our Pitchtalks Session.

Further News

 

Upcoming Events

| Event

Anniversary Lecture: 2,500 Years of Cryptography

As the new semester begins, TUM students can look forward to a special highlight: On October 8, 2026, at 11:00 a.m., the TUM School of Computation, Information and Technology…

| TUM Venture Labs, TUM Venture Labs, PhD Program, Module Entrepreneurship, Event

Energy Launchpad Award

The Energy Launchpad Award turns DACH energy innovation into successful companies - helping research-driven teams move toward company creation and giving startups direct…

| PhD Program, Module Research, Event

Research Data Management

This course aims to provide the knowledge and tools necessary for efficient data handling throughout any research project. Participants will explore strategies for data…

| Munich AI Lecture, Event

Munich AI Lectures: Shafi Goldwasser on "A Cryptographic Perspective on Machine Learning Trustworthiness Challenges"

Don’t miss the next Munich AI Lecture with Prof. Shafi Goldwasser on “A Cryptographic Perspective on Machine Learning Trustworthiness Challenges”, taking place on Tuesday, 20…

| PhD Program, Event, Top

Munich Career Fair AI & Data Science 2026

The Munich Data Science Institute (MDSI), the Konrad Zuse School of Excellence in Reliable AI (relAI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU are…

Conferences

| International Conference

American Society of Human Genetics (ASHG 2026) Annual Meeting

Get ready for American Society of Human Genetics Annual Meeting 2026 in Montreal! Join the global genetics community on October 20–24 for inspiring science, valuable…

| International Conference

40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

The Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2026) opens in Sydney, Australia on December 6, 2026, in Atlanta, Georgia on December 8, 2026,…

Artificial intelligence at TUM

MCML - Munich Center for Machine Learning

Contact

We are located at

Walther-von-Dyck-Str. 10, 85748 Garching, Germany,
GALILEO Garching,
TUM Building 05.8120.017,
Entrance 8, 5th floor.
info@mdsi.tum.de

If you travel by car, you can plan your journey via Google Maps. Paid parking is available in the Galileo underground parking lot or at the Park & Ride Garching Forschungszentrum. Free parking is available at the TUM parking lot.

If you use public transportation, please consider the MVV-Journey Planner to calculate your route to the nearby station Garching Forschungszentrum. With the U6 you can reach us from Marienplatz in 25 min.

Further locations

Members of the MDSI are located at various places in Munich and Garching. Please find contact information on the websites of our focus groups and members' chairs.

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Funded under the Excellence Strategy of the Federal Government and the Länder

 

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