Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany — How to Apply
The Konrad Zuse School of Excellence in Reliable AI (relAI) Scholarship 2027 is open to outstanding international students who want to pursue a master’s degree in Germany. The scholarship supports students studying Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, and related fields at the Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU).
The programme is designed to train future AI specialists who can develop safe, secure, and trustworthy artificial intelligence systems. Scholarship recipients gain access to financial support, world-class research opportunities, academic mentorship, and industry collaborations within one of Europe’s leading AI research communities. Applications close on June 15, 2026.
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Konrad Zuse School of Excellence in Reliable AI Scholarship Summary
| Scholarship Overview | Details |
|---|---|
| Scholarship Name | Konrad Zuse School of Excellence in Reliable AI (relAI) Scholarship 2027 |
| Host Country | Germany |
| Study Destination | Study in Europe |
| Host Institution | Konrad Zuse School of Excellence in Reliable AI (relAI) |
| Eligible Universities | Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU) |
| Degree Level | Master’s |
| Eligible Countries | All Countries |
| Scholarship Benefits | Financial Support, Research Opportunities, Academic Mentorship, Industry Exposure |
| Application Deadline | June 15, 2026 |
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About the Konrad Zuse School of Excellence in Reliable AI Scholarship
The Konrad Zuse School of Excellence in Reliable AI was established to address one of the most important challenges in modern artificial intelligence: building AI systems that are reliable, transparent, safe, and trustworthy.
As artificial intelligence becomes increasingly integrated into healthcare, education, robotics, finance, and public services, there is growing demand for experts who understand not only how AI works but also how to ensure it operates responsibly.
The relAI programme brings together researchers, industry partners, and students to develop AI technologies that can be safely deployed in real-world environments. Through advanced academic training and research activities, scholars gain expertise in both technical AI development and the ethical, legal, and societal challenges associated with artificial intelligence.
Students admitted to the programme become part of a collaborative research community focused on advancing reliable AI for critical applications.
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Research Areas
The relAI programme supports research and training in several key areas, including:
Artificial Intelligence and Machine Learning
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
- Intelligent Systems
Reliable AI Technologies
- AI Safety
- AI Security
- Privacy-Preserving Technologies
- Responsible AI Development
- Trustworthy AI Systems
Application Areas
Research projects may focus on:
- Medicine and Healthcare
- Robotics and Autonomous Systems
- Learning and Education Technologies
- Algorithmic Decision-Making
- Human-AI Interaction
Foundational Research
- Mathematical Foundations of AI
- Algorithm Design
- Computational Methods
- Statistical Learning
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What the Konrad Zuse School of Excellence in Reliable AI Scholarship Covers
Successful applicants will receive:
- Financial scholarship support during their master’s studies
- Access to leading AI research facilities
- Academic mentorship from internationally recognised researchers
- Participation in advanced AI research projects
- Collaboration opportunities with industry partners
- Access to seminars, workshops, and networking events
- Specialized training in reliable AI technologies
- Membership in the relAI research community
The scholarship is intended to support students throughout their master’s studies, subject to programme requirements and available funding.
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Eligibility Requirements
To be considered for the Konrad Zuse School of Excellence in Reliable AI Scholarship, applicants must:
- Hold an excellent bachelor’s degree in a relevant discipline
- Apply for or be enrolled in an eligible master’s programme at TUM or LMU
- Demonstrate strong academic performance
- Show a clear interest in reliable AI research
- Meet the English language requirements
Relevant academic backgrounds include:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Mathematics
- Engineering
- Natural Sciences
- Related disciplines
Applicants should also demonstrate an interest in areas such as:
- AI Safety
- AI Security
- Privacy Protection
- Responsible AI
- Trustworthy Machine Learning
English Language Requirement
Applicants must demonstrate English language proficiency at C1 level or equivalent.
Candidates whose previous degree was taught entirely in English may be able to provide alternative proof of English proficiency, subject to programme requirements.
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Required Documents
Applicants must prepare the following documents:
- Updated Curriculum Vitae (CV)
- Bachelor’s degree certificate (if available)
- Academic transcripts
- Diploma certificates
- Motivation statement (maximum 1,500 characters)
- Proof of English language proficiency at C1 level or equivalent
- Evidence that previous studies were conducted in English (if applicable)
For applicants still completing their bachelor’s degree:
- Current academic transcripts showing expected graduation before programme commencement
Practical Tip
Your motivation statement is one of the most important parts of the application. Focus on explaining your interest in reliable AI, your research goals, and how the programme aligns with your academic and professional ambitions. Avoid repeating information already contained in your CV.
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How to Apply — Step by Step
Step 1: Apply for a Master’s Programme
Submit an application to an eligible master’s programme at either the Technical University of Munich (TUM) or Ludwig Maximilian University of Munich (LMU).
Step 2: Prepare Your Documents
Gather all required academic records, language certificates, and supporting documents.
Step 3: Write Your Motivation Statement
Prepare a concise statement explaining your interest in reliable AI and your reasons for applying.
Step 4: Access the Scholarship Portal
Visit the official relAI application portal.
Step 5: Complete the Application Form
Provide all requested information and upload the required documents.
Step 6: Submit Before the Deadline
Submit your scholarship application before the closing date.
Step 7: Await the Selection Results
Applications will be reviewed by the relAI selection committee, and successful candidates will be notified.
Important Information
- Applicants must apply separately for admission to an eligible master’s programme at TUM or LMU.
- Scholarship applications do not replace university admission applications.
- Admission confirmation is not required before submitting a relAI scholarship application.
- Scholarship offers are made subject to successful admission into an eligible master’s programme.
- Many master’s programme deadlines occur around the end of May, so applicants should begin the admission process early.
- Scholarship funding may be adjusted based on academic progress and programme funding availability.
- Funding may be discontinued if scholarship conditions are no longer met.
- The current application cycle is for master’s students. The next PhD application round is expected to open in December 2026.
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Application Deadline
The deadline to apply for the Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 is:
June 15, 2026 (23:59 Anywhere on Earth – AoE)
Applicants are encouraged to submit their applications early and ensure that their university admission applications are completed before the relevant programme deadlines.
Frequently Asked Questions
Do I need admission to TUM or LMU before applying for the scholarship?
No. You can submit your scholarship application before receiving admission. However, scholarship awards are conditional upon admission to an eligible master’s programme.
Is the scholarship open to international students?
Yes. The scholarship is open to qualified applicants from all countries.
Which fields of study are eligible?
Eligible fields include Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering, Natural Sciences, and related disciplines.
What level of English proficiency is required?
Applicants must demonstrate English proficiency at C1 level or provide accepted alternative evidence where applicable.
What makes the relAI programme different from other AI scholarships?
The programme focuses specifically on reliable AI, including safety, security, privacy, transparency, and responsible deployment of artificial intelligence systems.
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Disclaimer: All scholarship details, deadlines, award values, requirements, and eligibility criteria were verified from the official scholarship website. Information is subject to change without notice. Always confirm the latest details directly on the official source before submitting your application.
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