Master in AI in Society

The Technical University of Munich (TUM) is one of Europe’s leading research universities, with a long tradition of innovation since its founding in 1868 and campuses across Munich and beyond. TUM’s reputation for excellence in engineering, natural sciences, medicine and business is backed by extensive partnerships with industry and research institutions globally. As a research-driven and entrepreneurial university, TUM attracts a large international student body and offers a stimulating environment for ambitious learners.

TUM provides a broad spectrum of degree programs at undergraduate, graduate and doctoral levels, emphasizing interdisciplinary research and practical application. Students benefit from state-of-the-art laboratories, integrative research centres and strong ties to technology firms and start-ups. The university’s approach combines rigorous theoretical foundations with hands-on projects, fostering skills that are highly valued by employers in Europe and worldwide.

International students are well supported through dedicated services, English-language programs at the master’s and doctoral levels, and a vibrant campus life in Munich, a city known for its cultural offerings and strong economy. Career services, industry internships and entrepreneurship support help students transition from study to professional roles. For those seeking world-class research opportunities, practical industry engagement and a cosmopolitan German campus experience, TUM is a compelling choice.

The Master in AI in Society at the Technical University of Munich is a two-year English-taught program for students interested in the intersection of artificial intelligence and societal impact.

The curriculum covers machine learning, ethics in AI, and data analysis, with opportunities for internships and projects that help students apply their knowledge in real-world settings.

Graduates can pursue careers as AI policy advisors, data analysts, or technology consultants, finding employment in government agencies, non-profit organizations, or tech companies.