Konrad Zuse School relAI MSc Program 2026 in Germany: Scholarship Opportunity for Students in Reliable AI
Applications are now open for the Konrad Zuse School of Excellence in Reliable AI (relAI) MSc Program 2026, an advanced academic opportunity for students seeking specialized training in trustworthy and reliable artificial intelligence. Hosted in partnership with Technical University of Munich and Ludwig Maximilian University of Munich, this prestigious program offers selected students cross-disciplinary AI […]
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- Localização do programa
- No mundo todo Formato não especificado
- Perfil do candidato
- Graduação, Mestrado Idioma: Não informado
Você pode se inscrever?
Verifique os critérios inegociáveis antes de investir tempo na aplicação.
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Materiais de aplicação
Prepare as informações e arquivos necessários antes de iniciar o aplicativo oficial.
Requisitos de aplicação
Tarefas e informações que você completará no aplicativo.
- An excellent bachelor’s degree in: Computer Science
- Mathematics
- Engineering
- Natural Sciences
- Data Science / Machine Learning / AI-related disciplines
- Strong interest in reliable AI topics such as: Safety
- Security
- Privacy
- Responsible AI
- Certified proficiency in English
Documentos para preparar
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Financiamento e apoio
- Scholarship of up to €992 per month
- Additional travel grants , including home travel support
- Access to research and academic resources
- Enhanced mentorship and development opportunities
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Sobre a oportunidade
Applications are now open for the Konrad Zuse School of Excellence in Reliable AI (relAI) MSc Program 2026, an advanced academic opportunity for students seeking specialized training in trustworthy and reliable artificial intelligence. Hosted in partnership with Technical University of Munich and Ludwig Maximilian University of Munich, this prestigious program offers selected students cross-disciplinary AI […]
Applications are now open for the Konrad Zuse School of Excellence in Reliable AI (relAI) MSc Program 2026, an advanced academic opportunity for students seeking specialized training in trustworthy and reliable artificial intelligence.
Hosted in partnership with Technical University of Munich and Ludwig Maximilian University of Munich, this prestigious program offers selected students cross-disciplinary AI training, professional development, and industry exposure, alongside scholarship support.
Designed for future AI leaders, the relAI MSc program equips participants with expertise in the rapidly growing field of reliable AI, focusing on safety, security, privacy, and responsibility in AI systems.
About the relAI MSc Program
The relAI MSc is an enhancement to a regular master’s degree program at TUM or LMU Munich, offering a flexible and personalized academic pathway for students pursuing advanced education in artificial intelligence.
Participants benefit from:
- Specialized training in reliable and trustworthy AI
- Scientific and technical coursework
- Professional development programming
- Industrial exposure and networking
- Research integration with leading AI experts
Scholarship Benefits
Funded participants receive:
- Scholarship of up to €992 per month
- Additional travel grants, including home travel support
- Access to research and academic resources
- Enhanced mentorship and development opportunities
Research Areas
Applicants should have interest in reliable AI topics across one or more of the following research areas:
- Mathematical and Algorithmic Foundations
- Algorithmic Decision-Making
- Medicine and Healthcare
- Robotics and Interacting Systems
- Learning and Instruction
Eligibility Criteria
Applicants are encouraged to apply if they have:
- An excellent bachelor’s degree in:
- Computer Science
- Mathematics
- Engineering
- Natural Sciences
- Data Science / Machine Learning / AI-related disciplines
- Strong interest in reliable AI topics such as:
- Safety
- Security
- Privacy
- Responsible AI
- Certified proficiency in English
Application Deadline
Submit your application by:
15 June 2026 (23:59 AOE)
How to Apply
For more Scholarship Opportunities, Visit OFY here.