The Konrad Zuse School of Excellence in Reliable AI (relAI) in Germany is now accepting applications for its MSc Scholarship Program 2026. This prestigious opportunity supports outstanding Master’s students pursuing studies in Artificial Intelligence, Machine Learning, Data Science, Robotics, Healthcare AI, Mathematics, Engineering, and related disciplines at the Technical University of Munich (TUM) or Ludwig Maximilian University of Munich (LMU). The scholarship offers partial to fully funded support, research mentorship, access to advanced laboratories, industry networks, and participation in cutting-edge AI research projects.
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1. Introduction
Artificial Intelligence is transforming industries, healthcare systems, transportation, education, and scientific research worldwide. As demand for AI specialists continues to grow, access to high-quality education and research opportunities has become increasingly important.

The relAI MSc Scholarship Program provides talented students with an opportunity to study in Germany while participating in one of Europe’s leading AI research initiatives. Scholars benefit from academic funding, mentorship from world-renowned AI researchers, access to advanced research facilities, and collaboration with industry partners.
For students interested in building careers in AI, machine learning, robotics, or data science, this program offers an exceptional pathway toward academic and professional success.
2. Scholarship Overview
- Scholarship Name: relAI MSc Scholarship Program 2026
- Host Country: Germany
- Institution: Konrad Zuse School of Excellence in Reliable AI (relAI)
- Partner Universities: Technical University of Munich (TUM) & Ludwig Maximilian University of Munich (LMU)
- Study Level: Master’s (MSc)
- Funding Type: Partial to Fully Funded
- Application Deadline: 15 June 2026
- Location: Munich, Germany
- Study Intake: Spring or Autumn 2026
Key Highlights
- Scholarship support for MSc students
- AI research mentorship
- Access to advanced research labs
- Participation in innovative AI projects
- Collaboration with industry partners
- International research environment
- Study in Germany
3. Benefits
The relAI MSc Scholarship offers academic, research, and professional development benefits.
Financial Benefits
- Partial to fully funded scholarship support
- Financial assistance throughout eligible study duration
- Support based on available funding and student progress
Research Benefits
- Access to advanced AI laboratories
- Participation in cutting-edge AI research projects
- Collaboration with leading researchers
- Exposure to interdisciplinary research
Professional Benefits
- Industry networking opportunities
- Research workshops and seminars
- Career development opportunities
- International academic experience
Academic Benefits
- Study at TUM or LMU
- Mentorship from relAI Fellows
- Access to research infrastructure
- Participation in AI-focused academic activities
4. Areas of Study
The scholarship supports students in AI-related disciplines.
Eligible Fields
- Artificial Intelligence
- Machine Learning
- Data Science
- Robotics
- Healthcare AI
- Computer Science
- Mathematics
- Engineering
- Natural Sciences
relAI Research Areas
Applicants should demonstrate interest in reliable AI topics, including:
- AI Safety
- AI Security
- Privacy-Preserving AI
- Responsible AI
- Mathematical & Algorithmic Foundations
- Learning & Instruction
- Algorithmic Decision-Making
- Medicine & Healthcare
- Robotics & Interactive Systems
5. Eligibility Criteria
Applicants must satisfy the following requirements.
Academic Requirements
Applicants should possess:
- An excellent Bachelor’s degree
- Strong academic performance
- Background in AI-related disciplines
Eligible Disciplines
- Computer Science
- Mathematics
- Engineering
- Natural Sciences
- Data Science
- Machine Learning
- Artificial Intelligence
Additional Requirements
- Genuine interest in reliable AI research
- Strong academic motivation
- Ability to conduct advanced research
- Admission to an eligible MSc program at TUM or LMU
English Language Requirements
Applicants must provide:
- English proficiency at C1 level or equivalent
OR
- Proof that their previous university degree was taught primarily in English
6. Required Documents
Applicants must prepare the following documents:
Mandatory Documents
- Curriculum Vitae (CV)
- Academic Transcripts
- Degree Certificates
- Short Motivation Statement (Maximum 1500 Characters)
- Proof of English Language Proficiency
Motivation Statement Should Include
- Academic background
- Relevant AI experience
- Research interests
- Career objectives
- Interest in reliable AI
For Ongoing Degrees
Students who have not yet graduated may submit current transcripts showing expected completion before enrollment.
7. Application Process & Official Website
Step 1
Apply for an eligible MSc program at:
- Technical University of Munich (TUM)
- Ludwig Maximilian University of Munich (LMU)
Step 2
Prepare all required scholarship documents.
Step 3
Complete the relAI scholarship application through the official portal.
Step 4
Submit your application before the deadline.
Official Website
Application Portal:
Application Deadline
đź“… 15 June 2026
⏰ 23:59 AoE
8. How to Avail This Opportunity
To strengthen your application:
Build a Strong Academic Profile
Maintain excellent grades in mathematics, programming, statistics, and AI-related subjects.
Gain Relevant Experience
Participate in:
- AI Projects
- Research Activities
- Machine Learning Competitions
- Data Science Projects
- Robotics Research
Write a Strong Motivation Statement
Clearly explain:
- Your interest in reliable AI
- Research goals
- Career aspirations
- Relevant technical experience
Apply to TUM or LMU Early
Admission to an eligible MSc program is required for scholarship eligibility.
Demonstrate Research Potential
Highlight:
- Publications
- Research projects
- Technical skills
- Academic achievements
Conclusion
The relAI MSc Scholarship 2026 offers an outstanding opportunity for talented students interested in Artificial Intelligence, Machine Learning, Robotics, Data Science, and Healthcare AI. With scholarship funding, expert mentorship, advanced research facilities, and access to Germany’s leading AI ecosystem, students can develop the skills and experience needed to become future leaders in AI research and innovation.
Interested applicants should submit their applications before the 15 June 2026 deadline and ensure they apply simultaneously to an eligible Master’s program at TUM or LMU.

Helen Oesha holds a Doctorate in Entrepreneurship and is a dedicated advocate for youth empowerment through education. Since 2021, she has been guiding students toward scholarships and international opportunities, making higher education more accessible worldwide. Oesha platform is widely regarded as a leading source for discovering global opportunities. Having personally experienced the challenges and success of funded doctoral studies, she is passionate about bridging the gap between ambition and access, helping students realize their dreams and reach their highest potential.