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

Computer Systems Engineering and Robotics

Qahe (Lm) Limited
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

Designed to kick-start your career in the age of autonomous, intelligent and computer connected systems, our Computer Systems Engineering and Robotics BEng course puts emphasis on microprocessor and microcontroller-based computer systems design, development and programming. It also allows you to specialise in computer networking or distributed and internet systems.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts35%
64-79 pts20%
80-95 pts15%
96-111 pts15%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
Continue past first year
76%
Student satisfaction
What graduates earn over time
Β£28,000
3 years on
Β£32,000
5 years on
What students say National Student Survey
76%
of students are satisfied with the course overall
Teaching80%
Assessment & feedback80%
Academic support83%
Well organised78%
Learning resources78%
Student community67%
In students' own words
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Genuinely worthwhile
Coming here has changed how I think. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” good transport links ma…
Final year Β· Part-time
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Exceeded expectations
This is the perfect place to study this subject. The best part: the career fair connections with top tech employers are genuinely valuable. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good trans…
Class of 2023 Β· Full-time
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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 Qahe (Lm) Limited'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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