MA Philosophy and Artificial Intelligence

Entry requirements

Each application is reviewed on an individual basis and assessed through the application form, reference, and personal statement.

Entry Requirements

• A second-class (2:2) honours or above (or international equivalent) in any subject, or equivalent international qualification
• Professional experience considered for applicants with relevant work background
• English language proficiency: IELTS 6.5 (no component below 6) or equivalent

Months of entry

September

Course content

Study Philosophy & Artificial Intelligence in London. Lead ethical AI.
Build the critical, analytical and ethical foundations to shape responsible intelligent systems.

The MA Philosophy & Artificial Intelligence gives you deep insight into the philosophical foundations of AI. You’ll examine the nature of mind and computation, explore ethical questions around data and automation, and analyse how intelligent systems shape society.

The programme provides a strong grounding in philosophical reasoning and research methods, alongside the option to develop practical skills in programming and data analytics. You’ll progressively build the ability to evaluate concepts, theories and arguments, form your own well-supported views, and understand how philosophical thinking contributes to the responsible development of AI.

Study your way – with full-time and part-time options available, you can balance your degree with work, family or other commitments.

Ideal for all backgrounds – no prior experience in philosophy or programming required.

Explore AI from every angle – ethical, metaphysical, epistemological and political dimensions integrated throughout.

Develop cutting-edge thinking – study philosophical issues central to data, information processing, machine intelligence and AI governance.

Optional pathways to tailor your learning, from programming and data science to political theory, ethics, and the philosophy of technology.

Build in-demand skills – critical analysis, structured reasoning, ethical evaluation, argumentation and clear communication.

Gain optional practical experience in programming, data analytics and the concepts underpinning AI models.

Learn from active researchers – teaching is informed by faculty expertise in philosophy, cognitive science, technology and ethics.

Join a vibrant intellectual community – benefit from research seminars, visiting speakers, philosophical societies and interdisciplinary events.

Study in the heart of London, close to global research hubs, tech organisations and leading cultural institutions.

Information for international students

Fees and funding