University of Leicester

What you'll study

This research Master's combines advanced research training with substantive study of AI technologies, ethics and the policy frameworks that govern their public use. The programme is built around core research methods and applied modules that together prepare you to plan and complete an original MRes dissertation on an AI and public policy topic.

• Research methods for AI and public policy: quantitative and qualitative methods, research design, data management and reproducible research practices tailored to policy-relevant studies.
• Foundations of AI: conceptual overview of machine learning, algorithmic systems, interpretability and limitations relevant to non-technical policymakers.
• AI, ethics and society: normative frameworks, fairness, accountability, transparency and human rights issues in the deployment of AI in public services.
• Regulation and governance of AI: comparative policy approaches, regulatory mechanisms, impact assessment and compliance tools used by governments and regulators.
• Policy analysis and public administration: how public policy is made, evaluated and implemented, with particular focus on technology-intensive domains such as health, policing and welfare.
• Applied or specialist modules: elective options may include data protection and privacy, algorithmic auditing, socio-technical systems, or sector-specific studies depending on staff expertise and availability.
• Major research project (MRes dissertation): a substantial independent research project supervised by academic staff, integrating methodological training with a focused inquiry into an AI-public policy problem.

As a distance-learning programme, teaching is delivered through a combination of recorded lectures, live seminars or tutorials, online discussion fora and individual supervision. Assessment typically mixes essays, project work, policy briefs and the final research dissertation.

Entry requirements

Applicants are normally expected to hold a good undergraduate degree (equivalent to a UK second-class honours, upper division, or higher) in a relevant subject such as social sciences, computer science, law, public policy or a closely related discipline. Practical experience in public policy, civil service, technology companies, research centres or NGOs is considered favourably and can be particularly relevant for distance learners.

Other typical requirements:

• Evidence of academic or professional experience in topics related to AI, data, policy or research; where appropriate, applicants without a directly relevant degree may be considered if they can demonstrate equivalent experience.
• Proficiency in English demonstrated by a recognised test or previous study in English, where applicable for international applicants.
• Personal statement outlining your research interests and reasons for undertaking the MRes; academic references to support your application.

Career prospects

The MRes is aimed at preparing graduates for research-led or policy-oriented careers. Typical roles taken by alumni include:

• Policy analyst or advisor in central or local government, focusing on digital policy, AI governance or public-sector technology deployment.
• Ethics and compliance officers, algorithmic audit specialists or governance leads within technology firms, consultancies or public bodies.
• Research roles in think-tanks, non-governmental organisations and research institutes that investigate the social impacts of AI.
• Further academic study, including progression to PhD programmes in public policy, science and technology studies, computer science or interdisciplinary AI research.

The programme emphasises transferable skills in research design, evidence synthesis, impact assessment and communication that are highly valued across policy, industry and academia.

Why study at University of Leicester

The University of Leicester brings an interdisciplinary approach to AI and public policy, drawing on strengths across social sciences, law and computing. As a distance-learning student you benefit from the university’s experience in delivering high-quality online education, with structured teaching materials, dedicated supervisors and student support services for remote study.

Leicester academics engage in policy-relevant research and collaboration with public institutions, allowing students to connect dissertation work to real-world policy challenges. The programme’s research emphasis and flexible delivery make it especially suitable for professionals seeking to develop specialist expertise without pausing their careers.