AI in Society
The Master of Science in AI in Society at the Technical University of Munich (TUM) is an innovative international graduate program designed for students and professionals who want to understand the social, ethical, and policy implications of artificial intelligence. This full-time program combines rigorous academic research with practical case studies and interdisciplinary approaches, preparing graduates to navigate the complex interactions between AI technologies and society. The program spans four semesters and admits students exclusively in the winter semester.
Located at TUM’s Munich and Weihenstephan campuses, the program emphasizes both critical thinking and practical application. Students gain hands-on experience in areas such as AI governance, ethics, public policy, human-centered design, and socio-technical systems. Through collaborative projects, seminars, and international networking opportunities, graduates acquire the knowledge and skills necessary to influence policy, guide ethical AI deployment, and drive responsible innovation in global contexts.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Munich & Weihenstephan
- Study Type: Graduate, Full-time (international)
- Admission semester: Winter semester only
- Area of study: AI, Ethics, Policy, and Society
- Admission modus: Aptitude Assessment / Qualifying Examination
- Main language: English
Program Structure
Semester 1 – Foundations & Interdisciplinary Basics
- Introduction to AI and Society
- Ethics and Philosophy of AI
- Social, Political, and Economic Impacts of AI
- Quantitative & Qualitative Research Methods
Semester 2 – Core Modules & Policy Applications
- AI Governance and Regulation
- Human-Centered AI Design
- Data Privacy, Security, and Law
- Case Studies in Socio-Technical Systems
Semester 3 – Specialization & Applied Projects
- Responsible AI and Sustainability
- International Policy and AI Strategy
- Impact Assessment & Scenario Planning
- Collaborative Project / Internship with industry or policy partners
Semester 4 – Master’s Thesis & Integration
- Research Thesis or Applied Project
- Thesis Seminar & Defense
- Synthesis of AI, Policy, and Society Insights
- Presentation and Dissemination of Findings
Career Opportunities
Graduates of the AI in Society program are prepared for a wide range of roles at the intersection of artificial intelligence, society, and policy. Career paths include AI policy advisor, ethics consultant, data governance specialist, socio-technical researcher, and responsible AI strategist. With TUM’s strong international orientation and its links to research institutions, governmental bodies, and industry partners, students gain excellent opportunities to engage in interdisciplinary projects, shape AI policy, and contribute to responsible and sustainable AI deployment worldwide.
Why Choose This Program
Choosing the Master of Science in AI in Society at the Technical University of Munich means joining a program that combines academic excellence with practical, real-world relevance. The program provides students with access to renowned faculty, modern facilities, and TUM’s strong international network, ensuring a high-quality interdisciplinary learning experience.
The program’s unique strength lies in its interdisciplinary curriculum, international orientation, and strong ties to policy, research, and industry partners. Students not only gain advanced skills in AI governance, ethics, and societal impact assessment but also develop the analytical, collaborative, and strategic capabilities needed to shape responsible AI solutions in a complex global context.
Contact Information
Technical University of Munich – Student Advisory Service
Arcisstraße 2180333
Munich, Germany
Tel: +49 89 289-0
Email: studienberatung@tum.de
Programme Contact – AI in Society
Weihenstephan Campus 85354
Freising, Germany
Tel: +49 8161 71-xxxx
Email: ai-in-society@tum.de
International Office – TUM
Arcisstraße 2180333
Munich, Germany
Tel: +49 89 289-22272
Email: international@tum.de
