The Konrad Zuse School of Excellence in Reliable AI (relAI) has officially opened applications for its 2026 MSc scholarship programme, offering an exciting opportunity for students pursuing advanced studies in artificial intelligence, data science, and related disciplines. This prestigious initiative supports talented individuals committed to developing reliable, safe, and responsible AI systems. Application Deadline and Key Timeline Applications for the relAI MSc scholarships are currently open for students planning to begin their master’s studies in Spring or Autumn 2026. Interested candidates must submit their applications via the official portal before: Deadline: June 15, 2026 (23:59 AoE) Applicants are strongly encouraged to apply early and ensure that all required documents are submitted on time. MSc Programme Requirements and Eligibility To qualify for the relAI MSc scholarship, applicants must be enrolled—or in the process of applying—to a relevant master’s programme at either the Technical University of Munich (TUM) or Ludwig Maximilian University of Munich (LMU Munich). Eligible fields of study include: Computer Science Mathematics Engineering Natural Sciences Data Science Machine Learning Artificial Intelligence and related disciplines It is important to note that candidates must apply separately to their chosen MSc programme at TUM or LMU. Most university application deadlines fall around late May, so parallel applications are essential. Scholarship offers are conditional upon acceptance into one of these programmes. Scholarship Duration and Funding Details The relAI MSc scholarship provides funding for the remaining duration of a student’s degree, based on the standard study period (“Regelstudienzeit”). However, applicants should be aware of the following: Funding duration may vary depending on available budget and individual academic progress The Selection Committee may award shorter funding periods where necessary Scholarships may be terminated if eligibility criteria are no longer met PhD Programme Update While the focus for 2026 is on MSc applications, it is important to note that the 2025 relAI PhD call has closed (January 13, 2026). Successful applicants have already been notified. The next PhD application cycle is expected to open in December 2026, providing another opportunity for aspiring researchers in AI and related fields. Additionally, PhD positions funded externally are periodically announced internally within relAI. General Eligibility Criteria relAI seeks candidates who demonstrate both academic excellence and a strong commitment to advancing the field of reliable AI. Applicants are typically expected to have: An excellent bachelor’s degree (for MSc applicants) or master’s degree (for PhD applicants) Academic background in AI-related disciplines such as computer science, mathematics, engineering, or data science A clear interest in reliable AI, including areas such as: Safety Security Privacy Ethical and responsible AI development Key Research Areas at relAI Applicants are encouraged to align their interests with relAI’s core research fields: Mathematical & Algorithmic Foundations Learning & Instruction Algorithmic Decision-Making Medicine & Healthcare Robotics & Interacting Systems Required Application Documents To complete the relAI MSc scholarship application, candidates must prepare and submit the following: Curriculum Vitae (CV) Academic diplomas and transcripts (If still studying, transcripts must confirm expected completion before programme start) Motivation Statement (maximum 1500 characters) Should clearly outline academic interests and relevant experience in AI or related fields Additional Requirements for PhD Applicants (Future Reference) Selection of two preferred relAI supervisors, with justification Contact details of two referees for recommendation letters English Language Requirements Applicants must demonstrate proficiency in English at C1 level or equivalent. Acceptable proof includes: Standardized language test results Confirmation that previous university education was conducted primarily in English About relAI The Konrad Zuse School of Excellence in Reliable AI (relAI) is hosted by the Munich Data Science Institute (MDSI) in Germany. It is dedicated to fostering cutting-edge research and education in AI systems that are trustworthy, transparent, and aligned with societal needs. Why Apply for the relAI MSc Scholarship? The relAI MSc programme offers more than just financial support. Scholars benefit from: Access to world-class research institutions in Germany Mentorship from leading AI researchers Opportunities to work on real-world AI challenges A collaborative and interdisciplinary learning environment Final Thoughts The relAI MSc Scholarships 2026 present a valuable opportunity for aspiring AI professionals to advance their academic and research careers in one of Europe’s leading innovation hubs. With a strong focus on ethical and reliable AI, the programme is ideal for students who aim to shape the future of technology responsibly. Prospective applicants should begin preparing their documents early and ensure they meet both relAI and university admission requirements ahead of the June 15 deadline. VISIT OFFICIAL WEBSITE HERE For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.