This English-language master's brings together computer science, psychology and philosophy to explore human cognition and artificial intelligence from multiple angles. It gives you the conceptual and technical tools to understand what defines the human mind and to develop, evaluate and manage AI systems with attention to their societal consequences. The programme is designed to be relevant across science, business and public policy contexts where responsible AI is increasingly important.
You can follow a subject-specific route in computer science, psychology or philosophy, or pursue a fully interdisciplinary path that builds on your bachelor’s studies while encouraging cross-disciplinary innovation. Coursework and projects are aimed at turning ideas into practical solutions and at critically assessing their social impact. Course selection is flexible so you can balance interdisciplinary breadth and disciplinary depth to match your academic interests and career goals.
Teaching follows an innovative, research-informed approach that emphasizes active learning and reflection. Rather than relying on rote memorization, you work on learning-oriented tasks throughout the semester and receive regular, individual feedback from instructors to support ongoing development. More details about this learning design are available on the programme’s website.
This interdisciplinary Master’s begins with a structured first semester that builds a shared foundation. Incoming students complete Foundation Modules chosen during admission to address any gaps in subject knowledge, and take two AI-focused modules that cover both technical fundamentals and the social and legal contexts that shape AI development and use.
In the second semester you deepen expertise across the three core disciplines — philosophy, psychology and computer science — while starting to define an individualized study profile. An Elective Module lets you pursue either a disciplinary specialisation (which will be recorded on your Master’s certificate) or a bespoke interdisciplinary path, with guidance from an academic mentor. You also begin the two-semester Learning In Transformation Project, which links theory and practice through collaborative, real-world work.
The third semester centres on interdisciplinary collaboration. Key taught modules — AI & Ethics, AI & Psychology, and Philosophy, Psychology & AI — pair instructors from different fields so student teams tackle applied research questions from multiple perspectives. Further electives allow continued profile refinement. In the final semester you complete a research-focused Master’s thesis that demonstrates your ability to formulate and answer a substantive question and to engage across disciplinary boundaries. Throughout the programme, optional Key Competencies modules (e.g., programming, professional skills, entrepreneurial thinking) prepare you for the transition to professional life.
Please consult the programme’s official admissions page for the full, up‑to‑date list of entry requirements and the exact documents you must submit. Carefully review that information so you can prepare your application materials, check eligibility, and note any deadlines or application steps listed there.
If anything is unclear or you have specific questions about what to submit, first look through the programme FAQ. For direct assistance, you can contact the admissions team by email.
Winter Semester (International)
31 May 2026
Winter Semester (EU/EEA)
31 May 2026
Graduates are prepared for roles that require both technical and conceptual understanding of AI, including positions in AI research and development, interdisciplinary research teams, industry roles focused on human-centered AI, and consultancy in AI ethics and governance. The programme’s combination of technical modules, ethics and psychology equips students to contribute to design, assessment and implementation of AI systems with attention to social impact.
Additional career paths include policy and regulatory advisory positions, roles in tech companies focused on responsible AI, and further academic research (PhD) at the intersection of computer science, psychology and philosophy. Practical project work and Key Competencies modules support employability by building applied skills such as programming, project collaboration and entrepreneurial thinking.
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