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

Computer Science

Sheffield Hallam University · Sheffield
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 is the discipline that underpins the digital world, encompassing the theory and practice of computation, software development, algorithms, data structures, artificial intelligence, and the systems that connect computing to the physical world. It is a subject that trains you to think rigorously about problems, to design and implement solutions in code, and to understand the mathematical and conceptual foundations that make modern software and hardware possible. Computer scientists work at the boundary of theory and application, and the field evolves rapidly as new technologies create new problems and new possibilities.

At Sheffield Hallam University, this three-year full-time programme includes a foundation year for students who need additional preparation before engaging with the main degree content, as well as a sandwich placement year and work placement opportunities. The programme is based in the Home of Digital Technologies, a purpose-built facility designed to replicate the kinds of environments in which computing professionals actually work. You will develop practical computation skills and engage with key concepts in artificial intelligence, moving from simulated client projects in the early stages to real-world briefs as your confidence and competence grow.

The placement year gives you sustained professional experience in an industry setting, where you apply your technical skills and develop professional awareness before returning for your final year.

You will study programming in modern languages, software engineering, algorithms, databases, computer networks, artificial intelligence, and cybersecurity, building both a broad foundation and the specialist depth that employers value. The programme's practical orientation means you develop not just technical knowledge but the professional skills needed to work effectively in teams and to deliver software to real specifications.

Graduates from computer science programmes enter careers across virtually every sector: software development, systems engineering, data science, cybersecurity, artificial intelligence, cloud computing, and technology consulting are all common routes. The placement year often leads directly to job offers. Further study, including masters degrees in computer science, AI, or data science, is a natural option for those who want to specialise further or pursue research careers.

Could you get in?
The grades students arrived with
<48 pts2%
48-63 pts4%
64-79 pts7%
80-95 pts15%
96-111 pts18%
112-127 pts20%
128-143 pts12%
144-159 pts7%
160-175 pts5%
176-191 pts1%
208-223 pts1%
How they qualified
91% got in with A-levels. The rest came in a mix of ways:
A-levels91%
other higher education3%
Other3%
the IB2%
an Access course1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
87%
Continue past first year
75%
Student satisfaction
What graduates earn over time
£29,000
After 15 months
£26,500
3 years on
£33,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled70%
Skilled trades occupations5%
Natural and social science professionalsHighly skilled5%
Sales occupations5%
Engineering professionalsHighly skilled5%
Elementary occupations5%
What students say National Student Survey
75%
of students are satisfied with the course overall
Teaching74%
Assessment & feedback78%
Academic support82%
Well organised78%
Learning resources74%
Student community80%
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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 Sheffield Hallam University'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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