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

Computer Science/Mathematics

Prifysgol Aberystwyth
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Robin · 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 is a joint honours combination that reflects the deep relationship between two disciplines that have always depended on each other. Computer science draws heavily on mathematical foundations, from logic and discrete mathematics to probability and linear algebra, and some of the most important advances in computing have come from mathematical insights. Mathematics, in turn, has been transformed by computation, with algorithmic thinking and numerical methods extending what is tractable and solvable.

Studying both together gives you fluency in each and an understanding of how they reinforce one another in practice.

At Prifysgol Aberystwyth, you will study this combination over three years, full time. You will cover the core areas of computer science, including programming, algorithms and data structures, computer architecture, software engineering, artificial intelligence, and networks, alongside mathematical topics such as calculus, linear algebra, probability, statistics, analysis, and discrete mathematics. The combination allows you to bring genuine mathematical rigour to computational problems, and to use computational methods to tackle mathematical ones.

You will develop strong programming skills alongside the ability to construct formal proofs and work with abstract mathematical structures. The degree builds both depth in the two disciplines and awareness of the ways they connect and diverge.

Graduates of Computer Science and Mathematics programmes are highly sought after across the technology sector and beyond. Software development, data science, machine learning, cybersecurity, financial modelling, cryptography, and research are all natural destinations. The formal mathematical training is an asset in roles that require rigorous reasoning about algorithms, security, or statistical models, while the computing skills make the mathematics practically applicable.

Many graduates continue into postgraduate study in computer science, mathematics, artificial intelligence, or closely related fields, and research doctorates in either discipline are a well-trodden route.

Could you get in?
The grades students arrived with
<48 pts1%
48-63 pts9%
64-79 pts10%
80-95 pts20%
96-111 pts21%
112-127 pts18%
128-143 pts8%
144-159 pts6%
160-175 pts2%
192-207 pts1%
240+ pts1%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
no formal qualifications5%
the IB2%
an Access course1%
another degree1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
82%
In work or further study after
89%
Continue past first year
92%
Student satisfaction
What graduates earn over time
£27,500
After 15 months
£34,000
3 years on
£43,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled60%
Teaching ProfessionalsHighly skilled20%
Sales occupations15%
Science, engineering and technology associate professionalsHighly skilled15%
Finance ProfessionalsHighly skilled20%
Administrative occupations5%
Skilled trades occupations5%
Business, Research and Administrative ProfessionalsHighly skilled10%
What students say National Student Survey
92%
of students are satisfied with the course overall
Teaching97%
Assessment & feedback89%
Academic support94%
Well organised97%
Learning resources89%
Student community96%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Prifysgol Aberystwyth's own site.
Apply on uni site
Careermash · 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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