MEng Electronic Engineering with Artificial Intelligence
About this course
Master of Engineering in Electronic Engineering with Artificial Intelligence, an electrical and electronic engineering and computer science (artificial intelligence) degree centred on modern hardware systems and intelligent software. Core topics include Programming, Systems Design, Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, Microelectronics, Control Systems, Statistics, Mathematical Modelling, Research Methods, Project Management, Engineering Design, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. This four-year degree is accredited by the Institution of Engineering and Technology to fully meet the academic requirement for registration as a Chartered Engineer. The first year covers fundamental principles through compulsory modules such as Circuits, Digital Systems, Electronic Systems and Devices, and Engineering Mathematics, introducing basic hardware analysis, programming, and mathematics. The second year advances this knowledge with compulsory modules like Applied Electromagnetism, Communications, Control and Systems Engineering, and Electronic and Computer Systems, focusing on modern computing structures and signal processing. The third year shifts towards specialised machine learning and advanced engineering concepts, featuring compulsory core content such as Foundations of Machine Learning alongside individual project work phases, while offering optional modules spanning topics like Advanced Computer Architecture, Biosensors and Diagnostics, and Digital IC and Systems Design. The final fourth year centers on collaborative problem-solving through the compulsory Group Design Project, alongside a wide array of advanced optional study choices including Computer Vision, Data Mining, and Intelligent Mobile Robotics.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*AA including mathematics (minimum grade A) and either physics, further mathematics, electronics or computer science (minimum grade A) IB: Pass, with 38 points overall with 19 points required at Higher Level, including 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretation), and 6 at Higher Level in either Physics or Computer Science.
What students say
Based on about 11 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 88%
- Learning opportunities: 77%
- Assessment and feedback: 80%
- Academic support: 100%
- Organisation and management: 77%
- Learning resources: 98%
- Student voice: 80%
Do students stay on the course?
Based on about 10 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 8 graduates who answered (a small group: a rough guide only)
- Working: 100%
Most common jobs
- Engineering professionals: 35%
- Information Technology Professionals: 35%
- Business, Research and Administrative Professionals: 15%
- Science, engineering and technology associate professionals: 5%
- Business and public service associate professionals: 5%
- Find their work meaningful: 100%
- Feel on track for their future plans: 100%
- Use what they learnt on the course: 90%
Where graduates work (5 years on)
Based on about 120 graduates, across similar courses at this university
- North West: 2%
- East Midlands: 1%
- East of England: 8%
- London: 33%
- South East: 41%
- South West: 12%
- Wales: 2%
- Scotland: 2%
Who gets in
Based on about 15 students who started (a small group: a rough guide only)
- A levels: 90%
- Foundation course: 10%
Accreditation & quality ratings
- Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Circuits
- Digital Systems
- ELEC Part One Laboratory Programme
- Electronic Systems and Devices
- Engineering Mathematics
- Fields, Forces and Materials
- Introduction to Signals, Control and Communications
- Mathematics
- Programming
- Applied Electromagnetism
- Communications
- Control and Systems Engineering
- Design
- Electronic and Computer Systems
- Electronic and Photonic Devices
- Programming and Simulation of Electronic Systems
- Signal Processing
- Foundations of Machine Learning
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Advanced Computer Architecture
- Advanced Partial Differential Equations
- Analogue and Mixed Signal Electronics
- Biosensors and Diagnostics
- Computational Biology
- Control System Design
- Digital Coding and Transmission
- Digital Control System Design
- Digital IC and Systems Design
- Embedded Networked Systems
- From Data to Dynamical Model: System Identification
- Green Electronics
- Guidance, Navigation and Control
- Imaging for Digital Health and Bioscience
- Integral Transform Methods
- Introduction to Bionanotechnology and Computational Biology
- Introduction to Quantum Technologies
- Nanoelectronic Devices
- Operational Research
- Photonics II
- Precision Health: Machine Learning Under Uncertainty
- Real-Time Computing and Embedded Systems
- Robot Kinematics and Dynamics
- Signal and Image Processing
- Wireless and Optical Communications
- Group Design Project
- Industrial Studies
- Advanced Micro and Nanosystems
- Applied Control Systems
- Bayesian, Active & Reinforcement Learning
- Computer Vision (MSc)
- Cryptography
- Data Mining
- Digital Systems Synthesis
- Embedded Processors
- Evolution of Complexity
- From Data to Dynamical Model: System Identification
- Image Processing
- Individual Research Project
- Intelligent Mobile Robotics
- Introduction to Quantum Computing
- Machine Learning for Wireless Communications
- Medical Electrical and Electronic Technologies
- Microfabrication
- Microfluidics and Lab-on-a-Chip
- Microsensor Technologies
- Modelling with Differential Equations
- Nanofabrication and Microscopy
- Nonlinear Control of Aerospace Systems
- Numerical Methods
- Optical Fibres and Waveguides
- Quantum Devices and Technology
- Secure Hardware and Embedded Devices
- Silicon Photonics
- Software Project Management and Secure Development
- VLSI Design Project
- VLSI Systems Design
- Wireless Transceiver Design and Implementation
Questions about this course
How much do graduates of MEng Electronic Engineering with Artificial Intelligence at University of Southampton earn?
The median salary is £37,000 after 15 months, £47,000 after 3 years, £62,000 after 5 years. After five years the middle half of graduates earn between £45,000 and £82,000. The £62,000 median after five years is £24,500 more than the UK median for Electrical and electronic engineering.
What do graduates of MEng Electronic Engineering with Artificial Intelligence at University of Southampton do next?
100% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MEng Electronic Engineering with Artificial Intelligence at University of Southampton?
88% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MEng Electronic Engineering with Artificial Intelligence at University of Southampton?
The typical offer is A*AA at A level, or 38 points in the IB. The average entrant had 177 UCAS points.
Is MEng Electronic Engineering with Artificial Intelligence at University of Southampton accredited?
Yes. Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
How many students continue on MEng Electronic Engineering with Artificial Intelligence at University of Southampton?
100% of students continued into their second year, and 0% left higher education.