relAI with DataFest Germany

Master Student

🎉The 8th edition of DataFest Germany will be held at Ludwig-Maximilians-Universität in Munich from 28 March to 30 March 2025. relAI is proud to support the event organization again this year. Additionally, a team of relAI students will participate in this exciting competition and networking opportunity.

The event is an annual data-driven competition, commonly referred to as a “hackathon,” that alternates between Mannheim and Munich. It is organized in collaboration with partners from industry and research institutions.

Datafest Germany is a celebration that follows upon the model DataFest™, organized by the American Statistical Association. The world's first DataFest took place at the University of California in 2011. Since then, many universities took up the DataFest format.

Learn more about DataFest Germany in this link.

We are excited to announce that our call for applications to the relAI MSc program is now open! 

The novel, innovative relAI MSc program is an addition to a regular MSc program at Technical University of Munich (TUM) or Ludwig Maximilians University (LMU), offering comprehensive cross-sectional training in reliable AI, including scientific knowledge, professional development courses, and industrial exposure. Funded applicants receive a scholarship of up to 934€ and additional support such as travel grants for home travel.   

relAI, funded by the German Academic Exchange Service (DAAD), is embedded in the unique transdisciplinary Munich AI ecosystem, combining the expertise of the two Universities of Excellence TUM and LMU of Munich.  

We highly encourage you to apply if you:   

  • hold an excellent Bachelor’s degree in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines,  
  • are accepted to a MSc program in said disciplines at either TUM or LMU starting in spring or fall 2024, or have applied there (Acceptance necessary before joining relAI) 
  • have a genuine interest to study reliable AI covering aspects such as safety, security, privacy and responsibility in one relAI’s research areas Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare or Robotics & Interacting Systems, and
  • can certify proficiency in English on C1 or higher level.  

📆 Application Deadline: June 17th, 2024  

đź”— Apply now: www.zuseschoolrelai.de/application 

On the 11th and 12th of October, relAI welcomed the new cohort of relAI Master and Doctoral students. The event included informative sessions about relAI and networking activities. At the Munich Data Science Institute (MDSI), TUM, the relAI directors and coordinators presented the relAI program to the new students. The first relAI cohort of students organised a lively interactive session (photo) to welcome and get to know the new students.

We are excited to announce that applications for the relAI Master program are now open. Interested candidates can apply through our website. Deadline for applications is June 16th, 2023.

The novel, innovative MSc relAI program offers a cross-sectional training for successful education in AI including scientific knowledge, professional development courses and industrial exposure, providing a coherent, yet flexible and personalised training.

Funded applicants will receive a stipend of up to 934 EUR (depending on independent income). We expressly encourage international students to apply. They will be further supported by travel grants for home travel.

We encourage candidates with an excellent bachelor's degree (or equivalent) in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines and a genuine interest to work on a topic of reliable AI to apply (in parallel to applying for a master program at TUM or LMU).

For the 6th time already, LMU is organizing the DataFest Germany this year. From April 14th – 16th, teams of students will have the opportunity to work with a large set of real life data and analyze it to discover insights. At the same time, they will have the chance to meet with leaders and companies in the field of statistics. The best teams will be awarded prizes for best insight, best visualization and best use of outside data.

RelAI is proud to be supporting the organization of the event this year and will also be sending a team of students there to join this exciting competition and networking event.