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University degree

Electronics and Computer Science

University of Edinburgh · Edinburgh
Qualification
Degree
Length
5 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

The MEng degree is relevant to those wishing to pursue a career as a professional engineer or a computer scientist in industry. We teach a solid foundation of electronics and computer science, and courses are designed to improve your technical, team-working and problem-solving skills. Electronics and computer science are a fascinating and highly valuable combination.

Interactions between these fields have generated some of the most significant advances in computer design and communications technology over the last 50 years. We teach a solid foundation of electronics and computer science. You will learn how to design and apply both the hardware and software of general-purpose and embedded computer systems.

Could you get in?
The grades students arrived with
144-159 pts10%
160-175 pts20%
176-191 pts20%
192-207 pts10%
224-239 pts10%
240+ pts35%
How they qualified
95% got in with alevel. The rest came in a mix of ways:
alevel95%
other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
95%
In professional / skilled jobs
90%
Continue past first year
81%
Student satisfaction
What graduates earn over time
£35,000
After 15 months
£37,000
3 years on
£55,500
5 years on
What students say National Student Survey
81%
of students are satisfied with the course overall
Teaching77%
Assessment & feedback67%
Academic support53%
Well organised80%
Learning resources86%
Student community92%
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Where this degree can lead
Data EngineerBlockchain DeveloperCybersecurity AnalystCryptographerNetwork EngineerProgrammers and Software Development Professionals n.e.c.
Like the look of it?
When you're ready, the full entry requirements and application are on University of Edinburgh's own site.
Apply on uni site
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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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