BEng Hons Electronic Engineering with Artificial Intelligence

3 Years On Campus Bachelors Program

University of Surrey

Program Overview

The BEng (Hons) Electronic Engineering with Artificial Intelligence combines electronic systems design, firmware development, and AI technologies—perfect for innovative students eager to build smart, connected systems. Tailored for future-focused thinkers, it equips you with both hardware and software expertise to confidently launch your engineering career.

Curriculum structure

Year 1:
You'll develop a strong technical foundation through compulsory modules like Electronic Circuits, Computer and Digital Logic, Engineering Mathematics, Electrical Science I, and Programming in C. These are taught via a blend of dynamic lectures, practical labs, and professional studies designed to sharpen your problem-solving and teamwork skills.

Year 2:
Building on your first year, you’ll tackle Circuits, Control and Communications, Engineering Mathematics III, Computer Algorithms and Architecture, and Electrical Science II, alongside continued hands-on learning through the Laboratories, Design & Professional Studies III & IV modules. These deepen your analytical, programming, and systems engineering abilities.

Placement Year (Professional Training):
For those who choose the placement route, you’ll complete the Professional Training Year module during a full year in industry. This guided placement includes structured reflection and documentation of your learning, helping you integrate real-world experience into your final academic year.

Year 3 (Final Year):
In the final year, you’ll take on challenging technical content like Fundamentals of Digital Signal Processing and the essential Engineering Professional Studies module. You’ll also complete a Year 3 Individual Project and choose from inspiring optional modules such as Digital Communications, Computer Vision & Pattern Recognition, RF & Microwave Fundamentals, Data & Internet Networking, Control Engineering, Power Electronics, Robotics, and more—enabling you to specialize in AI-related applications.

Focus areas:
The course focuses on electronic hardware, firmware, AI, digital signal processing, computer vision, robotics, and networking—leveraging Surrey’s renowned facilities like the 5G/6G Innovation Centre and the Surrey Space Centre.

Learning outcomes:
Graduates will be able to design and analyze AI-enabled electronic systems, implement firmware and software effectively, and work independently and collaboratively to solve complex engineering challenges.

Professional alignment (accreditation):
The BEng (Hons) is accredited by the Institution of Engineering and Technology (IET) and fully meets the academic requirements for Incorporated Engineer (IEng) status while partially satisfying those for Chartered Engineer (CEng) registration.

Reputation (employability & rankings):

  • Ranked 11th in the UK for overall student satisfaction in the National Student Survey 2024.
  • Impressive graduate outcomes: 95% are employed or in further study within 15 months, with an average starting salary around £36,000.
  • Surrey is also a top-20 UK university overall—from rankings like Times, The Guardian, and Complete University Guide.

Experiential Learning (Research, Projects, Internships etc.)

From the first year, you'll be immersed in a learning environment shaped by leading-edge research centres, practical labs, and a strong pathway to professional placements.

Your experiential learning journey:

  • Learn at the forefront of engineering research: Your teaching is grounded in world-leading smart technologies, including the 5G/6G Innovation CentreAdvanced Technology InstituteCentre for Vision, Speech & Signal Processing, and Surrey Space Centre. These research hubs infuse modules with genuine, cutting-edge projects.

  • Professional Training Placements: The program offers an award-winning Professional Training placement scheme—most students take a paid year-long placement (often between Year 2 and Year 3), gaining real-world experience at companies like Airbus, Intel, Jaguar Land Rover, GE Healthcare, HP, and more. 

  • Real-world design projects in labs: The Engineering Professional Studies module equips you with professional design and teamwork experience—from problem scoping to build-test cycles—ethics, SDGs, sustainability, and client-focused presentation all included.

  • Engineering design plus sustainability skills: You’ll gain hands-on familiarity with laboratory and workshop tools, learn risk management, and design sustainable electronic systems—preparing you for professional engineering challenges.

  • Institutional recognition and support: Professional accreditation by the IET paves your path toward chartership, and Surrey's school boasts high employability: 94–95% of graduates are in work or further study soon after leaving. 

Progression & Future Opportunities

Graduates of the University of Surrey's BEng (Hons) Electronic Engineering with Artificial Intelligence are highly employable, moving into roles such as AI hardware engineer, embedded AI systems developer, robotics engineer, intelligent systems designer, and machine learning specialist. Many alumni also pursue further study in AI engineering or work in cutting-edge sectors including autonomous systems, smart technologies, semiconductor design, and next-generation computing.

Here's how Surrey specifically supports your future:

Career Services & Experiential Learning:
The three-year BEng programme offers a professional training year, with students securing placements at leading AI and electronics companies like NVIDIA, ARM, and Graphcore. Students gain hands-on experience in Surrey's £40m Advanced Technology Institute, working on practical projects that combine electronic engineering with AI applications. The curriculum includes a major final-year project developing AI-enabled electronic systems, supported by the university's award-winning Careers Service which provides specialist AI engineering employability support.

Industry Partnerships & Research:
The programme benefits from Surrey's strategic partnerships with AI leaders like Google DeepMind, IBM Research, and the Surrey Institute for People-Centred AI, alongside collaborations with the 5G/6G Innovation Centre. Students access cutting-edge facilities including the AI Hardware Lab, Edge Computing Testbed, and the UK's leading semiconductor cleanrooms. The curriculum integrates current research in neuromorphic engineering, AI-optimized chip design, intelligent sensor networks, and machine learning deployment on embedded systems.

Graduate Outcomes:
Students develop dual expertise in electronic systems and practical AI implementation, including skills in neural network deployment, edge AI hardware design, and intelligent system integration. These capabilities are in critical demand, with graduates achieving an average starting salary of £33,500 (University of Surrey 2023 data).

Further Academic Progression:
After completing the BEng, graduates can progress to Surrey's MEng programme or pursue specialist master's degrees in AI hardware or robotics. Many enter roles with AI chip manufacturers, autonomous systems developers, or industrial AI solution providers, supported by Surrey's strong industry network in both electronics and AI sectors.

Program Key Stats

£26,000
Sept Intake : 14th Jan


70 %

Eligibility Criteria

ABB
3.2
33
75

1290
28
6.0
80

Additional Information & Requirements

Career Options

  • Electrical Engineer
  • AI Hardware Engineer
  • Machine Learning Engineer
  • Robotics Systems Engineer
  • Computer Vision Engineer
  • Embedded AI Specialist
  • IoT Solutions Architect
  • Autonomous Systems Developer
  • AI Research Scientist
  • Data Scientist (Signal Processing Focus)
  • Semiconductor AI Designer

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