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

Mathematics and Computer Science

University of Strathclyde
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

Mathematics and computer science is a degree that sits at the intellectual heart of the digital world. Mathematics provides the rigorous foundations that computer science depends on: the logic behind algorithms, the probability theory underpinning machine learning, the linear algebra used in graphics and data analysis, and the formal reasoning that makes it possible to prove that software behaves correctly. Computer science, in turn, gives mathematical thinking a powerful range of applications, from building systems that solve large-scale optimisation problems to developing the statistical models that power modern data science.

At the University of Strathclyde, this four-year full-time programme with an entry tariff of 256 points represents a demanding but highly rewarding combination. You will study mathematics across its core areas including analysis, algebra, probability, and statistics, alongside computer science covering programming, algorithms, systems, artificial intelligence, and software engineering. The two subjects are studied together rather than in isolation, developing the capacity to use mathematical rigour to understand computational problems and to use computational tools to explore mathematical ideas.

A year abroad is part of the programme, adding an international dimension to your academic experience.

Graduates from mathematics and computer science programmes are among the most sought-after in the technology economy. Careers span software engineering, data science, machine learning research, cryptography and security, academic research, and quantitative roles in financial services and scientific computing. The combination of mathematical depth and computational skill is precisely what the most technically demanding roles in artificial intelligence, algorithm design, and systems research require.

Postgraduate study in mathematics, computer science, and related disciplines is a natural route for those who wish to specialise or pursue doctoral research.

Could you get in?
The grades students arrived with
144-159 pts10%
160-175 pts10%
192-207 pts10%
224-239 pts20%
240+ pts55%
How they qualified
85% got in with A-levels. The rest came in a mix of ways:
A-levels85%
other higher education15%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
90%
Continue past first year
90%
Student satisfaction
What graduates earn over time
Β£33,000
After 15 months
Β£33,500
3 years on
Β£41,000
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled13%
Information Technology ProfessionalsHighly skilled80%
Sales occupations13%
Elementary occupations9%
Business, Research and Administrative ProfessionalsHighly skilled12%
Administrative occupations7%
Engineering professionalsHighly skilled5%
Skilled trades occupations3%
What students say National Student Survey
90%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback90%
Academic support78%
Well organised89%
Learning resources89%
Student community92%
In students' own words
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A great decision
The programme genuinely lives up to its reputation. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, first-year classes can be quite large. On the city β€” the city is a brilliant stud…
Third year Β· Full-time
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Highly recommend
The course has exceeded my expectations. The best part: you finish with a portfolio that recruiters take seriously. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” local cost of living is manageab…
Class of 2023 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 Strathclyde'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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