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

Computer Science

University of York Β· York
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 is the discipline that seeks to understand computation in all its forms, from the mathematical theory of what can and cannot be computed to the practical engineering of software systems that solve real problems. It encompasses algorithms and data structures, programming languages, operating systems, networks, databases, artificial intelligence, and software engineering, and it is the intellectual foundation of the digital world.

At the University of York, this four-year full-time programme gives you a thorough grounding in fundamental computer science theory alongside the practical skills needed to address real-world problems. You will study the mathematical foundations of computing, learn to design and analyse algorithms, understand how systems are built and how they can fail, and engage with the engineering disciplines that allow complex software to be built reliably by teams. The year in industry is an integral feature of this programme, adding a year of professional experience that applies your learning in a genuine commercial, research, or public sector environment.

This experience builds your professional judgement, your understanding of how software development works in practice, and your employability before you graduate. The typical entry tariff is 136 UCAS points.

Graduates from computer science programmes are among the most sought-after in the graduate labour market. Careers span software engineering, data science, cybersecurity, systems architecture, artificial intelligence research, product management, and technical consulting across virtually every sector. The combination of theoretical grounding and practical experience that this programme provides is particularly valued by employers who need people who can both think carefully and build things that work.

Further study options include master's degrees and doctoral programmes in computer science, artificial intelligence, human-computer interaction, and related fields.

Could you get in?
The grades students arrived with
80-95 pts5%
112-127 pts10%
128-143 pts40%
144-159 pts5%
160-175 pts20%
176-191 pts5%
240+ pts5%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
88%
Continue past first year
75%
Student satisfaction
What graduates earn over time
Β£35,000
After 15 months
Β£40,000
3 years on
Β£53,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled80%
Science, engineering and technology associate professionalsHighly skilled5%
Business and public service associate professionalsHighly skilled5%
What students say National Student Survey
75%
of students are satisfied with the course overall
Teaching76%
Assessment & feedback62%
Academic support62%
Well organised78%
Learning resources79%
Student community83%
In students' own words
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A great decision
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good tran…
Third year Β· Part-time
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Genuinely worthwhile
Coming here has changed how I think. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” good transport links make it easy to vi…
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 York'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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