relAI MSc Scholarships 2026
Konrad Zuse School of Excellence in Reliable AI (relAI), Munich Data Science Institute (MDSI)
Quick Facts
A word from Eli, founder of Rise Africa Scholars
MSc Information Security — Unicaf Scholar
While you wait for a fully funded opportunity, don’t put your education on hold. I completed my MSc through Unicaf — studying online from Nairobi while working full-time. The tuition discount made it genuinely affordable, and the degree is from an accredited UK university.
If you’re serious about advancing your career now, I’d encourage you to explore it. I only recommend what I’ve used myself.
About This Scholarship
The relAI MSc Scholarship supports talented students pursuing advanced studies in artificial intelligence, data science, and related disciplines at Technical University of Munich (TUM) or Ludwig Maximilian University of Munich (LMU Munich). The scholarship funds the remaining duration of a student’s master’s degree based on the standard study period, with applicants required to demonstrate academic excellence and commitment to developing reliable, safe, and responsible AI systems.
What This Scholarship Covers
- Full tuition and fees covered for remaining duration of MSc studies
- Stipend or living support (amount not specified)
- Access to relAI research facilities and mentorship
Who Can Apply
- 1 Must hold an excellent bachelor's degree
- 2 Must be enrolled or in the process of applying to an MSc programme at Technical University of Munich (TUM) or Ludwig Maximilian University of Munich (LMU Munich)
- 3 Field of study must be in Computer Science, Mathematics, Engineering, Natural Sciences, Data Science, Machine Learning, Artificial Intelligence, or related disciplines
- 4 Must demonstrate genuine interest in reliable AI, including aspects such as safety, security, privacy, and ethical AI development
- 5 Must demonstrate English language proficiency at C1 level or equivalent, or proof that previous university education was conducted primarily in English
- 6 Must demonstrate alignment with relAI's core research areas: Mathematical & Algorithmic Foundations, Learning & Instruction, Algorithmic Decision-Making, Medicine & Healthcare, or Robotics & Interacting Systems
