MEng Electronic Engineering with Artificial Intelligence
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.
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.
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