Technical University of Munich AI Scholarships 2026, Germany
The Technical University of Munich (TUM), in collaboration with the Konrad Zuse School of Excellence in Reliable AI (relAI), has opened applications for its MSc scholarships focused on Artificial Intelligence, Robotics, Healthcare AI, and Machine Learning. This program is designed to train the next generation of AI researchers who can develop safe, trustworthy, and human-centered AI systems.
Unlike traditional AI programs that focus mainly on coding and model building, this scholarship emphasizes “Reliable AI,” which includes safety, ethics, transparency, privacy, and responsible decision-making systems.
Scholarship Summary
- Host Country: Germany
- Universities: Technical University of Munich and Ludwig Maximilian University of Munich
- Program Name: relAI (Konrad Zuse School of Excellence in Reliable AI)
- Degree Level: Master’s (MSc)
- Funding Type: Partially to fully funded scholarship support (depending on selection)
- Fields: AI, Machine Learning, Robotics, Healthcare AI, Data Science
- Application Deadline: 15 June 2026
- Study Intake: Spring or Autumn 2026
Degree Level
The scholarship supports Master’s level studies in:
- MSc Artificial Intelligence
- MSc Machine Learning
- MSc Robotics
- MSc Data Science
- MSc Computational Science
- MSc Medical/Healthcare AI-related programs
- Other AI-related interdisciplinary programs at TUM or LMU
Available Subjects
Applicants from the following academic backgrounds are encouraged to apply:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Mathematics
- Engineering
- Robotics
- Natural Sciences
- Medical Informatics / Healthcare AI
- Computational Sciences
Benefits
Selected students may receive:
- Financial scholarship support during MSc studies
- Access to Germany’s leading AI research ecosystem
- Mentorship from top AI researchers
- Participation in advanced research projects
- Training in reliable and ethical AI systems
- Access to laboratories and AI innovation centers
- Networking opportunities with AI experts and industry partners
- Workshops, seminars, and interdisciplinary collaboration
- Exposure to robotics, healthcare AI, and safe AI development
Eligible Nationalities
- Open to international students worldwide
- No nationality restrictions mentioned
- Highly competitive selection process
Eligibility Criteria
Applicants must:
- Hold an excellent bachelor’s degree in a relevant field
- Show strong academic performance in technical subjects
- Demonstrate interest in trustworthy and responsible AI
- Have background knowledge in AI, programming, or mathematics
- Meet English proficiency requirements (C1 level or equivalent recommended)
- Show motivation for research in reliable AI systems
Note: Students with English-taught degrees may also qualify without additional language tests.
Application Procedure
Required Documents
Applicants generally need:
- Academic CV
- Bachelor’s degree certificate and transcripts
- Motivation letter
- Proof of English proficiency (if required)
- Academic references or recommendation letters
- Statement of interest in AI research
- Additional documents required by TUM or LMU MSc admission
Application Process
- Apply separately to an eligible MSc program at TUM or LMU
- Prepare relAI scholarship application documents
- Submit motivation letter and academic records
- Apply before the relAI deadline
- Shortlisted candidates may be evaluated further
- Final selection based on academic excellence and research potential
Important: Admission to TUM or LMU is required, but applicants can apply for relAI before final admission results.
Key Features of the Program
- Focus on safe, ethical, and reliable AI systems
- Strong research orientation in machine learning and robotics
- Collaboration between TUM and LMU Munich
- Integration into Germany’s leading AI ecosystem
- Emphasis on real-world applications in healthcare and robotics
- Interdisciplinary learning and research opportunities
