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, stu...
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.<br/><br/>**Learning Outcomes**<br/><br/>Knowledge and understanding<br/><br/>By the end of the course, students will have acquired:<br/><br/><br/>- A deeper knowledge of the history, philosophy and theory of AI, data and algorithms<br/><br/><br/>- an understanding of the capabilities of current and future digital technologies and their relation to wider society<br/><br/><br/>- 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<br/><br/><br/>- the conceptual understanding and analytic tools to evaluate and contribute to research on the nature, impacts and governance of AI, data and algorithms<br/><br/><br/>**Skills and other attributes**<br/><br/>Graduates of the course will be able to:<br/><br/><br/>- Synthesise and analyse research and advanced scholarship across disciplines<br/><br/><br/>- Put theoretical and academic knowledge into practice<br/><br/><br/>- Present their own ideas in a public forum and contribute constructively within an international and cross-disciplinary environment<br/>
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
9 Months
Start Date
09/2025
Campus
Cambridge University
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
C05
Points of Entry
Unknown
Take the next steps at University of Cambridge with our postgraduate course search.