This interdisciplinary Master of Science trains students to address the societal challenges posed by modern AI systems. The programme concentrates on reducing algorithmic bias, improving user-focused explainability and interpretability, and safeguarding data privacy and security. It also highlights fair access to AI technologies and the creation of a competitive, responsible AI ecosystem.
Students study the legal, ethical and policy dimensions of AI so they can evaluate risks, help design governance and regulatory frameworks, and support the development of ethical, inclusive AI applications. The curriculum responds to rapid advances in AI—particularly generative models that produce text, speech, images and video—by equipping graduates with the cross-disciplinary perspective needed for oversight and informed critique, including contributions from social science viewpoints that understand technical capabilities and societal impact.
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This program requires applicants to hold a completed Bachelor's degree of sufficient length and content, together with evidence of English-language ability and specific coursework/project experience. If you earned your degree outside the host country, make sure it is recognized as equivalent to a domestic Bachelor's of at least six semesters; contact admissions if you need help with equivalence or credit conversion.
You must also demonstrate discipline-related preparation and hands-on experience: some prior study in mathematics or statistics, and a substantive practical project completed during your Bachelor’s studies. Finally, admission is contingent on passing the program’s aptitude test. International applicants should be prepared to document their language skills and provide transcripts or syllabi to verify credit amounts and project scope.
Admission requirements (bullet points)
If any of these items need translation, conversion or further explanation for international credential evaluation, contact the admissions office for guidance on acceptable documentation and equivalency procedures.
Winter Semester (International)
31 May 2026
Winter Semester (EU/EEA)
31 May 2026
Graduates are prepared to work at the interface of technology, governance and society. Typical career paths include roles in public policy and regulation, AI ethics and compliance, risk assessment, and advisory positions for companies and NGOs implementing responsible AI practices. They are also suited for positions that require translating social-scientific insights into technical and organisational requirements for fair and transparent AI systems.
Because the programme combines legal, ethical and technical understanding, alumni can pursue careers in industry (product management, responsible-AI teams, compliance), government and regulatory bodies (policy advisor, regulator), consulting, or continue in research and doctoral studies on AI governance and societal impact.
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