Course summary
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
- 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
Entry requirements
Applicants for this course should have achieved a UK Good II.i Honours Degree. If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. We welcome applications from a wide range of academic backgrounds such as philosophy, sociology, anthropology, gender and race studies, media studies, computer science and engineering.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Cambridge
The Old Schools
Trinity Lane
Cambridge
CB2 1TN