MEng Electronic Engineering with Photonics
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 Physics or Computer Science
About this course
Master of Engineering in Electronic Engineering with Photonics is an electrical and electronic engineering degree focused on optical science, semiconductor technology, and electronic systems. 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 integrated master's programme is professionally accredited by the Institution of Engineering and Technology, providing the academic foundation required for Chartered Engineer registration. The first year covers fundamental principles through compulsory modules such as Circuits, Digital Systems, Electronic Systems and Devices, and Engineering Mathematics. The second year builds competence in core engineering areas with modules including Applied Electromagnetism, Communications, Control and Systems Engineering, and Electronic and Computer Systems. The third year shifts towards specialised photonics topics alongside compulsory modules like Part III Individual Project Phase 1, Part III Individual Project Phase 2, Photonics I, and Photonics II, while offering optional modules such as Advanced Computer Architecture, Analogue and Mixed Signal Electronics, and Biosensors and Diagnostics. The final year involves advanced study and group work through compulsory modules like Group Design Project and Industrial Studies, complemented by optional choices such as Advanced Fibre Telecommunication, Advanced Micro and Nanosystems, Computer Vision (MSc), and Cryptography.
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
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Photonics I
- Photonics II
- 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
- Foundations of Machine Learning
- 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
- 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 Fibre Telecommunication
- Advanced Micro and Nanosystems
- Applied Control Systems
- Computer Vision (MSc)
- Cryptography
- 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
- Optical Sensors
- 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