Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany | How to Apply
Applicants are invited to apply for the Konrad Zuse School of Excellence in Reliable AI (relAI) Scholarship 2027 in Germany. The relAI Scholarship is open to outstanding international students who wish to pursue a Master’s degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, and related disciplines at leading German universities.
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The scholarship is designed to train the next generation of AI experts who combine technical excellence with a deep understanding of AI safety, security, privacy, responsibility, and societal impact.
Hosted by the Konrad Zuse School of Excellence in Reliable AI, the programme provides funding and research opportunities for students studying at the Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU).
Successful applicants will join a world-class research environment focused on developing reliable AI systems for critical application areas such as healthcare, robotics, education, and algorithmic decision-making.
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Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany Summary
- Host Country: Germany
- Study Abroad: Study in Europe
- Host: Konrad Zuse School of Excellence in Reliable AI (relAI)
- Category: Postgraduate Scholarships | Master’s Scholarships
- Eligible Countries: All Countries
- Reward: Scholarship Funding, Research Opportunities, Industry Exposure, Academic Mentorship
- Deadline: June 15, 2026
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Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany Details
The Konrad Zuse School of Excellence in Reliable AI (relAI) was established to address one of the most important challenges in artificial intelligence today: reliability.
While AI technologies continue to advance rapidly, concerns remain regarding:
- Safety
- Security
- Privacy protection
- Ethical use of AI
- Responsible deployment of AI systems
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The relAI programme seeks to develop future AI leaders capable of building trustworthy and reliable AI technologies that can be safely deployed in critical sectors.
Students will receive advanced training in:
- Artificial Intelligence
- Machine Learning
- Data Science
- AI Safety
- AI Security
- Privacy-Preserving Technologies
- Responsible AI Development
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Research activities are organized around the following focus areas:
- Mathematical and Algorithmic Foundations
- Learning and Instruction
- Algorithmic Decision-Making
- Medicine and Healthcare
- Robotics and Interacting Systems
Scholarship recipients must be enrolled in an eligible Master’s programme at either:
- Technical University of Munich (TUM)
- Ludwig Maximilian University of Munich (LMU)
Applicants are required to apply separately for admission to their chosen Master’s programme.
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Eligibility Requirements for the Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany
To apply for the relAI Scholarship, applicants must meet the following requirements:
- Must hold an excellent Bachelor’s degree in a relevant field
- Must be applying for or enrolled in an eligible Master’s programme at TUM or LMU
- Must have a strong academic background in:
- Computer Science
- Mathematics
- Engineering
- Natural Sciences
- Data Science
- Machine Learning
- Artificial Intelligence
- Related disciplines
- Must demonstrate a genuine interest in reliable AI research
- Must be interested in topics such as:
- AI Safety
- AI Security
- Privacy
- Responsible AI
- Must demonstrate proficiency in English at C1 level or equivalent
Applicants may also provide proof that their previous degree programme was taught primarily in English.
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Benefits of the Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany
Successful applicants will receive:
- Financial scholarship support during their Master’s studies
- Access to world-class AI research facilities
- Mentorship from leading AI researchers
- Participation in cutting-edge AI research projects
- Industry exposure and collaboration opportunities
- International academic networking opportunities
- Specialized training in reliable AI technologies
- Access to the relAI research community
The scholarship funding is generally available for the remaining duration of studies according to the official study plan.
Required Documents for theKonrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany
Applicants must prepare the following documents:
- Updated Curriculum Vitae (CV)
- Bachelor’s degree certificate (if completed)
- Academic transcripts
- Diploma certificates
- Short motivation statement (maximum 1,500 characters)
- Proof of English language proficiency at C1 level or equivalent
- Evidence that previous studies were taught in English (if applicable)
For applicants who have not yet completed their degree:
- Current academic transcripts showing expected completion before programme commencement
Here is an easy-to-follow guide for starting your scholarship application and crafting a compelling personal statement:
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How to Apply for the Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 in Germany
Follow the steps below to apply:
- Apply for admission to an eligible Master’s programme at TUM or LMU.
- Prepare all required application documents.
- Update your CV and academic records.
- Write a motivation statement highlighting your interest in reliable AI.
- Obtain proof of English language proficiency.
- Visit the relAI online application portal.
- Complete the scholarship application form.
- Upload all required supporting documents.
- Submit your application before the deadline.
- Await the selection results.
Applicants do not need to receive admission confirmation from TUM or LMU before submitting their relAI scholarship application. Scholarship offers will be made subject to admission into an eligible Master’s programme.
Important Notice
Applicants must apply separately for admission to a Master’s programme at TUM or LMU in addition to the scholarship application.
Most Master’s programme application deadlines fall around the end of May, so applicants are encouraged to begin the admission process early.
Scholarship funding may be adjusted depending on the candidate’s study progress and available programme funding. Funding will end if the scholarship requirements are no longer met during the course of study.
The current call is for Master’s scholarship applicants. The previous PhD call has already closed, and the next PhD application cycle is expected to open in December 2026.
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Deadline
The deadline to apply for the Konrad Zuse School of Excellence in Reliable AI Scholarship 2027 is June 15, 2026, at 23:59 Anywhere on Earth (AoE).
Interested applicants are encouraged to submit their applications early and complete their university admission applications before the relevant programme deadlines.
Application Link
