Master of Science in AI in Society
An interdisciplinary Master's programme exploring the ethical, legal, and social dimensions of artificial intelligence.
Best for:Best for students with a background in social sciences or technical fields who want to specialize in AI ethics, governance, and policy.
Overview
The AI in Society programme at the Technical University of Munich is a highly interdisciplinary Master's degree designed to address the complex challenges posed by modern artificial intelligence. Students examine critical topics such as algorithmic bias, data privacy, user-dependent explainability, and the governance frameworks necessary for responsible AI deployment. The curriculum integrates perspectives from social sciences, law, and policy to prepare graduates to assess risks and shape inclusive AI ecosystems. This full-time programme is conducted entirely in English and is ideal for those looking to bridge the gap between technical AI development and societal impact.
What you'll do
- Engage in interdisciplinary coursework covering the legal, ethical, and policy aspects of AI.
- Analyze the societal impact of generative AI technologies including text, image, and video generation.
- Develop frameworks for mitigating bias and ensuring equitable access to AI systems.
- Participate in practical projects with partners in Germany and abroad.
- Contribute to the development of responsible and inclusive AI governance strategies.
Requirements
Degree required: Bachelor's degree of at least six semesters
Degree offered: Master of Science
Language: English; C1 level (e.g., TOEFL iBT 88, IELTS 6.5, PTE 65, or C1 Advanced)
Instruction: English
- At least five credits in mathematics or statistics from Bachelor's studies
- Completion of a practical project worth at least 18 credits during Bachelor's studies
- Successful completion of the programme's aptitude test
- Proficiency in English at C1 level
- Hold a qualified Bachelor's degree from a domestic or foreign university
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-05-31
Applications must be submitted through the official TUM online application portal. Ensure all required academic transcripts and language certificates are prepared according to the university's guidelines.
- Bachelor's degree certificate
- Academic transcripts
- English language proficiency certificate
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