University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Artificial Intelligence

University of Edinburgh Β· Edinburgh
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Artificial intelligence is at the frontier of computer science, and the demand for people who understand it at a rigorous technical level is growing faster than the supply. AI is not simply a set of tools to be used; it is a field of study concerned with how computational systems can be made to exhibit behaviour that we would characterise as intelligent, from pattern recognition and natural language processing to reasoning, planning, and learning from data. Understanding AI at this level requires a strong foundation in mathematics, computer science, and the theoretical underpinnings of machine learning and cognitive systems.

At the University of Edinburgh, one of the world's leading centres for AI research, this four-year programme is designed to equip you with both the practical knowledge and the depth of understanding needed to succeed in a fast-growing and highly competitive field. You will study the foundations of computer science and mathematics alongside the core techniques and theories of artificial intelligence, developing the ability to design, evaluate, and improve AI systems rather than simply apply existing tools. The programme includes a year abroad, giving you the opportunity to study AI in an international context and to build the global perspective that the field increasingly requires.

Graduates of AI degree programmes from a research-intensive institution such as Edinburgh are among the most sought-after in the technology sector. Roles in machine learning engineering, natural language processing, computer vision, robotics, AI research, and data science are all natural destinations, as are positions in AI ethics, policy, and strategy as organisations grapple with the implications of the technology they deploy. Many graduates go on to postgraduate study or doctoral research, particularly those interested in pushing the boundaries of what AI systems can do.

Could you get in?
The grades students arrived with
144-159 pts10%
160-175 pts25%
176-191 pts10%
224-239 pts15%
240+ pts15%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
95%
In work or further study after
100%
Continue past first year
69%
Student satisfaction
What graduates earn over time
Β£34,000
After 15 months
Β£33,500
3 years on
Β£47,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled55%
Sales occupations5%
Artistic, literary and media occupationsHighly skilled5%
Elementary occupations5%
Customer service occupations5%
Business and public service associate professionalsHighly skilled5%
Teaching ProfessionalsHighly skilled5%
Finance ProfessionalsHighly skilled5%
What students say National Student Survey
69%
of students are satisfied with the course overall
Teaching63%
Assessment & feedback71%
Academic support47%
Well organised70%
Learning resources69%
Student community67%
In students' own words
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Genuinely worthwhile
This is the perfect place to study this subject. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” the cit…
Third year Β· Full-time
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A great decision
This is the perfect place to study this subject. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the ci…
Class of 2024 Β· Full-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Edinburgh's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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