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

Computer Science and Mathematics

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

Computer science and mathematics at their highest level are not merely related disciplines but, in a fundamental sense, the same endeavour approached from different directions. Mathematics provides the language, the proof techniques, and the abstract structures that computer science builds on, while computer science provides concrete problems that motivate and apply mathematical thinking in new ways. As computing systems have grown in scale and complexity, the mathematical sophistication required to understand and improve them has grown correspondingly.

At the University of Edinburgh, this four-year full-time programme is built on the recognition that mathematics forms the foundation of computer science. You will study the core areas of both disciplines in genuine depth: on the mathematics side, analysis, algebra, probability, statistics, and discrete mathematics; on the computer science side, algorithms, data structures, programming languages, systems, and the theoretical foundations of computation. The year abroad element extends the programme and places you in an international academic environment, deepening your scholarly perspective and broadening your professional network.

The typical entry tariff is 256 UCAS points, reflecting the exceptional academic standard expected of applicants.

Graduates from computer science and mathematics programmes are among the most sought-after in the graduate labour market. Careers in software engineering, data science, machine learning research, cryptography, financial mathematics, academic research, and quantitative analysis across many sectors are all natural destinations. The combination of mathematical rigour and computational skill is particularly valuable in roles at the frontier of technology.

Further study options include doctoral programmes in computer science, mathematics, statistics, and related fields.

Could you get in?
The grades students arrived with
112-127 pts5%
144-159 pts10%
176-191 pts5%
192-207 pts5%
224-239 pts10%
240+ pts50%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
the IB10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
95%
Continue past first year
69%
Student satisfaction
What graduates earn over time
Β£35,000
After 15 months
Β£37,000
3 years on
Β£55,500
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled20%
Information Technology ProfessionalsHighly skilled75%
Teaching and Childcare Support Occupation5%
Leisure, travel and related personal service occupations5%
Business, Research and Administrative ProfessionalsHighly skilled20%
Engineering professionalsHighly skilled10%
Teaching ProfessionalsHighly skilled10%
What students say National Student Survey
69%
of students are satisfied with the course overall
Teaching74%
Assessment & feedback61%
Academic support44%
Well organised60%
Learning resources74%
Student community86%
In students' own words
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Genuinely worthwhile
The programme genuinely lives up to its reputation. The best part: you finish with a portfolio that recruiters take seriously. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transport links ma…
Third year Β· Full-time
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Highly recommend
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, first-year classes can be quite large. On the city β€” the city is a brilliant student…
Class of 2022 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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