🎉 We’re full! Registrations closed. Thank You! 🎉  

• Wow! We’re blown away by the amazing and overwhelming response! 🚀 All spots are now taken, and registration is officially closed.

We look forward to see you at our DataFest Germany 2026 in Mannheim!

What is the competition about?  👀

• Bachelor and Masters-level students of all subjects participate in teams of 3–5 persons, having 48 hours to gain the best insights and derive relevant analysis from an extensive data set, which is not revealed until the start of the event. Data is visualized, analysed, modelled and much more. 

• In previous years, we provided data from the Los Angeles Police Department, which were analyzed for solutions to reduce crime rates, as well as data from a dating site which were analyzed for characteristics that predicted the users' dating decisions.

• During the competition, students are supported by a team of statistics and computer science experts from the Social Data Science and AI Lab (SODA). To preserve the integrity of the event, we ask that you only work on the dataset while you are at the DataFest site. 

Are there prizes? 🥇🥈🥉

Yes! At the close of the event, teams present their results to a jury of experts. Prizes are awarded in four categories:

FAQ 🤔

• Where is the venue of the Datafest Germany 2025? The event will take place at the main building of the Ludwig-Maximilians-Universität in Munich (Geschwister-Scholl-Platz 01).

• Will there be food? Yes! We will provide plenty of food and drinks throughout the duration of the event, so you can focus entirely on your data work.

• Will there be accommodation? Unfortunately, we are not able to provide dedicated accommodation during the event. However, we have compiled a list of budget accomodations in Munich.

• Can I participate even if I am not affiliated with the Ludwig-Maximilians-Universität in Munich? Yes! We very much welcome applications from other German Universities as well as from outside Germany!

• Can I participate without a team? Participation without a team is not possible. Not only are you more productive and creative as a team, but you will also share some really good moments together. Shall you want to participate but don’t have a team, we offer you the opportunity to connect with others who are also looking for a team: Join the datafest2025 Discord Server (coming soon), where you may find others looking for a team as well. 

• What can I win? At the close of the event, teams present their results to a jury of experts. We won't spoil the prizes, but rest assured, they are worth the effort.

• What is the event's language? The event will take place completely in English.

• I have another question! Please send us an email with your question to: datafest@stat.uni-muenchen.de

Want to support DataFest?

Information for sponsors and Career Fair employers:

• DataFest gives the enriching opportunity to students to gain experience analyzing real data and meeting employers. Employers are invited to participate in our Career Fair, as well as to provide advice to the competing teams.

• By providing financial support to DataFest Germany, not only do you allow us to host the students, but you will support the DataFest mission and help expose students to challenging questions with immediate real-world significance that can be addressed through data analysis.

• You can easily support our DataFest Germany as follows:

  1.  Donation: Donate using our online donation tool - an easy, safe and quick way to support our Datafest.  This donation mechanism is provided by the Social Data Science and AI Lab (LMU-Department of Statistics) --> Donate here!

  2. Sponsor Partner: by partnering with us, your firm or organisation can join us as a Career Fair employer and share your professional vacancies or internships to our high skilled and motivated cohort of future Data Scientists! Read more about our Call for Sponsors and Career Fair Partners

• If you want to support DataFest Germany and need more information about the sponsoring possibilities, please reach out to Wiebke Weber (wiebke.weber@lmu.de)