relAI Master’s Scholarship in Reliable AI at TUM & LMU Germany 2026
Scholarship in Computer Science ShortlistOpportunity Details
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Opportunity ID 286427
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Degree Master
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Opportunity Type : Partially Funded
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Gender Male Female
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Language of Instruction English
Opportunity Description
Overview
Students pursuing a Master’s degree in Artificial Intelligence at Technical University of Munich (TUM) or LMU Munich can secure up to €992 per month through the relAI scholarship program. Offered by the Konrad Zuse School of Excellence in Reliable AI, this initiative bridges the gap between technical AI development and real-world societal implications.
The program targets international and domestic students who combine technical brilliance with an awareness of safety, security, and privacy in AI systems. Alongside financial backing, selected students gain exclusive access to cross-sectional training, industry internships, and a vast professional network in Munich’s leading AI ecosystem.
Applications are currently open for students starting their MSc courses in the spring or autumn of 2026. Because candidates must be enrolled in or actively applying to an eligible Master’s program at TUM or LMU (where most application deadlines close at the end of May), prospective scholars should coordinate their university admissions and relAI applications simultaneously.
Quick Overview
| Provider | Konrad Zuse School of Excellence in Reliable AI (TUM & LMU) |
| Country | Germany |
| Level | Master’s |
| Funding | Stipend (up to €992/month) + Travel Grants |
| Deadline | 15 June 2026 |
Financial Benefits
As a relAI master’s student, you will receive substantial support to facilitate your education and professional development:
- A monthly funding stipend of up to €992, limited to the standard remaining duration of studies.
- Financial travel grants to attend international academic conferences and events.
- Direct access to close mentoring from top academic and industry fellows.
- Cross-sectional training in science communication, business expertise, and AI societal implications.
- Opportunities for industry internships and international academic stays.
Eligibility Requirements
Academic Requirements
- Hold an excellent Bachelor’s degree in Computer Science, Mathematics, Engineering, Natural Sciences, or a related AI/Data Science discipline.
- Must be applying to, or currently enrolled in, a relevant Master’s program at either Technical University of Munich (TUM) or LMU Munich.
- Exhibit a genuine interest in the core themes of reliable AI, which include safety, security, privacy, and responsibility.
Language Requirements
Demonstrate C1 level English proficiency. Alternatively, provide proof that your previous university degree was taught primarily in English.
Required Documents
- Updated Curriculum Vitae (CV)
- Copies of relevant diplomas and academic transcripts
- Short Motivation Letter (maximum 1500 characters)
- Names and contact addresses of two researchers for recommendation letters
- Valid proof of English language proficiency (Level C1 or equivalent)
How to Apply
The application process is entirely online. Please note that you must also apply for university admission separately.
- First, ensure you apply to an eligible Master’s program at TUM or LMU. (Most of these university deadlines are at the end of May 2026).
- Gather and format all required documents, including your CV, transcripts, and motivation letter.
- Access the official LMU Graduate Center portal using the link below.
- Submit your complete relAI application by 15 June 2026 (23:59 AoE).
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Frequently Asked Questions
Do I need to be accepted to TUM or LMU before applying to relAI?
No. You should apply to relAI by June 15, 2026, even if you have not yet received your university acceptance letter. However, the final relAI scholarship offer will be conditional upon your successful admission into an eligible TUM or LMU Master’s program.
Does this scholarship cover the new TUM tuition fees for international students?
The relAI program explicitly provides a monthly stipend of up to €992 and travel grants. The official guidelines do not explicitly state whether it covers the tuition fees that TUM recently instituted for non-EU international students. Candidates should budget accordingly and inquire directly with the program administrators.
Can I apply if my background is in Medicine rather than Computer Science?
Yes. relAI explicitly lists Medicine & Healthcare as one of its core application domains. If you have a strong academic background and are entering a relevant Master’s program at TUM/LMU that integrates AI and healthcare, you are highly encouraged to apply.
