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

Computing

Imperial College of Science, Technology and Medicine Β· London
Qualification
Degree
Length
3 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

Computing at Imperial College London is a rigorous, intellectually demanding degree built on the conviction that the best software and systems come from a deep understanding of underlying principles rather than familiarity with any particular language or tool. You will learn to think computationally, to reason about correctness and efficiency, and to design solutions to problems that are genuinely hard. This is a three-year full-time programme, and it sits within one of the world's leading research universities, which means you are taught by people who are actively shaping the discipline.

You will study algorithms and data structures, logic, programming languages, computer architecture, operating systems, software engineering and the mathematical foundations that tie these together. The curriculum is broad in the early years and deepens as you progress, with the opportunity to explore areas such as machine learning, computer graphics, security, distributed systems and human-computer interaction. The emphasis throughout is on building systems that genuinely work, applying sound reasoning to design challenges rather than guessing at solutions.

The typical tariff for entry is around 216 points, reflecting the academic demands of the programme, and graduates leave with one of the most respected computing degrees available in the UK.

Career prospects are exceptionally strong. Graduates move into software engineering, data science, machine learning research, quantitative finance, cybersecurity, product management and technology leadership roles across every sector. Many join leading technology companies in the UK, Europe and internationally, while others pursue postgraduate study, including doctoral research, at Imperial and elsewhere.

The combination of rigorous training and the college's reputation means graduates are sought after wherever complex technical problems need to be solved.

Could you get in?
The grades students arrived with
160-175 pts8%
176-191 pts3%
192-207 pts6%
208-223 pts17%
224-239 pts29%
240+ pts3%
How they qualified
97% got in with A-levels. The rest came in a mix of ways:
A-levels97%
other higher education1%
Other1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
95%
In work or further study after
97%
Continue past first year
95%
Student satisfaction
What graduates earn over time
Β£70,000
After 15 months
Β£64,000
3 years on
Β£83,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled90%
Teaching ProfessionalsHighly skilled10%
What students say National Student Survey
95%
of students are satisfied with the course overall
Teaching97%
Assessment & feedback88%
Academic support83%
Well organised98%
Learning resources93%
Student community94%
In students' own words
β˜…β˜…β˜…β˜…β˜…
Highly recommend
Coming here has changed how I think. The best part: the lecturers include people actively shipping research to industry. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the city is a brilliant studen…
Class of 2024 Β· Full-time
β˜…β˜…β˜…β˜…β˜…
Would do it again
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the career fair connections with top tech employers are genuinely valuable. If I'm honest, accommodation allocation was stressful in the first year. On the cit…
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 Imperial College of Science, Technology and Medicine'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.

Β© 2026 Careermash. A concept for secondary schools.