The programme aims to equip students with the skills and knowledge to contribute critically and constructively to cross-disciplinary research on AI, data and algorithms and their ethical and societal implications. It introduces students from diverse backgrounds to relevant research skills and specialist knowledge from a range of academic disciplines, and provides them with the opportunity to carry out focused research under close supervision by domain experts at the University.

Learning Outcomes

Knowledge and understanding

By the end of the course, students will have acquired:

• A deeper knowledge of the history, philosophy and theory of AI, data and algorithms
• an understanding of the capabilities of current and future digital technologies and their relation to wider society
• a critical perspective on the ethical challenges that arise from applications of AI, data and algorithms and how these sit within and interact with wider society
• the conceptual understanding and analytic tools to evaluate and contribute to research on the nature, impacts and governance of AI, data and algorithms

Skills and other attributes

Graduates of the course will be able to:

Synthesise and analyse research and advanced scholarship across disciplines
Put theoretical and academic knowledge into practice
Present their own ideas in a public forum and contribute constructively within an international and cross-disciplinary environment

Continuing

Students admitted for the MPhil can apply to continue as PhD students with a relevant Faculty.  For details of the process for applying to do a PhD, and the standard required, students should consult the Faculty in question.

Open Days

The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the Postgraduate Open Day page for more details.

See further the Postgraduate Admissions Events pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Departments

This course is advertised in the following departments: