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

Electronic Engineering with Artificial Intelligence

The University of Surrey
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

Electronic engineering with artificial intelligence is a degree that addresses one of the most significant convergences in modern technology: the integration of AI and machine learning into the hardware and electronic systems on which the digital world runs. Electronic engineering provides the foundational knowledge of circuits, signals, sensors, and systems that allows engineers to understand how physical devices process and transmit information. Artificial intelligence adds the algorithmic and computational layer that enables those devices to make decisions, recognise patterns, and respond intelligently to their environment.

At Surrey, the BEng programme prepares you for careers in robotics and automation, aerospace and defence, AI chip design, telecommunications, healthcare, research, and many other rapidly evolving fields. You will study the core disciplines of electronic engineering, including circuit design, signal processing, communications, and embedded systems, alongside the principles of machine learning, computer vision, and intelligent systems. The Surrey campus provides access to modern research facilities and industry connections that enhance your learning and professional development.

The degree runs over three years full-time, with a typical entry tariff of 120 points.

Graduates of electronic engineering with artificial intelligence programmes work in technology companies, aerospace and defence contractors, telecommunications, healthcare technology, autonomous systems, and semiconductor design. The combination of hardware engineering knowledge and AI competency is particularly valuable as industries across every sector integrate intelligent systems into their products and processes. Many graduates pursue professional engineering accreditation or go on to postgraduate study in robotics, AI, or electronic engineering to develop specialist technical expertise.

Could you get in?
The grades students arrived with
80-95 pts10%
96-111 pts25%
112-127 pts30%
128-143 pts10%
144-159 pts5%
160-175 pts5%
176-191 pts5%
How they qualified
76% got in with A-levels. The rest came in a mix of ways:
A-levels76%
other higher education18%
another degree3%
an Access course1%
a foundation year1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
95%
In work or further study after
88%
Continue past first year
85%
Student satisfaction
What graduates earn over time
Β£41,500
3 years on
Β£50,500
5 years on
What graduates actually go on to do % of leavers
Skilled trades occupations5%
Engineering professionalsHighly skilled30%
Information Technology ProfessionalsHighly skilled70%
Sales occupations5%
Science, engineering and technology associate professionalsHighly skilled10%
Protective service occupationsHighly skilled5%
Finance ProfessionalsHighly skilled5%
Sports and fitness occupationsHighly skilled5%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback78%
Academic support72%
Well organised84%
Learning resources82%
Student community80%
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 cohort are bright and motivated, which makes the learning environment great. If I'm honest, admin can be slow to respond, especially at start of term. On t…
Class of 2023 Β· Full-time
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Genuinely worthwhile
I've grown so much academically and personally here. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the city β€” …
Third year 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 The University of Surrey'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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