Subject guides / AI Ethics and Society
AI Ethics and Society
Also appears in programme titles as: Responsible AI · Ethics of AI · AI and Society
What an AI ethics degree actually is
AI policy asks what the rules should be; AI ethics asks what is right before the rules exist — fairness in algorithms, accountability for automated decisions, the social costs of scale. Degrees here train the ethicists, auditors and "responsible AI" leads that labs, regulators and consultancies are now hiring by the team.
The map splits by seriousness of format: Cambridge offers both the research-first MPhil (in our AI and Public Policy map) and a part-time MSt for working professionals; Edinburgh teaches it inside its Futures Institute; Leeds runs the most affordable UK entry; PSL in Paris embeds it in a two-year interdisciplinary build.
What you study — and the bar to entry
Cores blend philosophy of technology, algorithmic fairness and accountability, data ethics and governance frameworks, usually with a technical-foundations module so non-programmers can read a model card. Assessment is essay- and dissertation-heavy; no programming prerequisite at Edinburgh or Leeds, though evidence of serious engagement with the technology is expected everywhere. The Cambridge MSt (21 months part-time) explicitly targets professionals already working alongside AI systems.
Where it leads
Responsible-AI and ethics teams at labs and platforms, AI assurance and audit practices (the newest consulting line), regulators and safety institutes, research ethics boards, and policy think tanks. The market signal to watch: "AI governance" job postings increasingly ask for exactly this hybrid — ethical reasoning plus enough technical literacy to challenge an engineering team.
Who it suits — and who it does not
A good fit if you are…
- Philosophy, law and social-science graduates who want the fastest-growing applied-ethics market
- Engineers seeking the reflective toolkit their technical degree skipped
- Working professionals — the Cambridge MSt format exists precisely for them
Probably not the right degree if…
- Applicants who want to regulate AI through institutions — that is the AI and Public Policy guide
- Those expecting settled answers: the field is argument, not catechism
- Anyone allergic to reading dense theory alongside code
Where to study it: the programme map
Five verified programmes: one-year MScs (Edinburgh, Leeds), a two-year Paris build (PSL), and Cambridge in both research (MPhil, shared with the AI policy map) and part-time professional (MSt) formats. Tuition shown only where officially stated.
| University | Official programme title | Length | Tuition (intl) | Experience |
|---|---|---|---|---|
| University of CambridgeUnited Kingdom | MPhil in Ethics of AI, Data and Algorithms | 9 mo | — | — |
| University of CambridgeUnited Kingdom | MSt in AI Ethics and Society | 21 mo | GBP 39,198 | Part-time MSt designed for working professionals (21 months alongside employment). |
| University of EdinburghUnited Kingdom | Data and Artificial Intelligence Ethics MSc | 12 mo | — | — |
| University of LeedsUnited Kingdom | AI Ethics and Society MSc | 12 mo | GBP 26,500 | — |
| Université PSLFrance | Master's degree in Artificial Intelligence and Society | 24 mo | EUR 19,500/yr | — |
Every row verified against the official programme page; oldest verification 16 Jul 2026. Nothing here is a paid placement.
Application strategy and funding routes
Edinburgh and Leeds are the one-year Chevening-compatible entries — Leeds at £26,500 is the value pick. PSL suits applicants who want depth and European networks at continental fees (€19,500/year). The Cambridge MSt is self- or employer-funded territory. A scholarship essay that pairs a home-country AI harm (biometric surveillance, credit scoring) with the governance capacity you would build reads far fresher than a generic ethics pitch.
Which scholarship funds which programme
Computed from each scheme's published rules (destination, level, course length) — not a guarantee; list-based schemes still require checking the official list.
- University of Cambridge
- University of Cambridge — 21-month course exceeds the 12-month limit
- University of Edinburgh
- University of Leeds
- Université PSL — study destination outside the scheme
- University of Cambridge
- University of Cambridge
- University of Edinburgh
- University of Leeds
- Université PSL — study destination outside the scheme
Frequently asked questions
AI ethics vs AI policy — which one do I want?
Ethics interrogates what should be done; policy builds the institutions that do it. If your target job title contains "governance", "regulation" or "policy", use the AI and Public Policy guide; if it contains "responsible AI", "ethics" or "assurance", you are in the right place. The maps deliberately share Cambridge rows.
Do I need to code?
No programme in this map requires prior programming, but every good one forces technical literacy — you cannot audit what you cannot read. Expect a technical-foundations core and the option to go deeper.
Does Chevening fund this field?
Edinburgh and Leeds are one-year UK masters inside the rule. Note the Cambridge MSt is part-time and therefore outside most scholarship schemes — check the format before you build an application around it.
Related fields
Sources
Official programme pages (linked per row above) · official scholarship rules and participating-programme lists · university admission regulations. Every data row records its source URL and verification date; stale rows are re-checked or removed.
Global Study Prep is independent and not affiliated with any university or scholarship programme. Programme details change — always confirm on the official page before applying.