ELECTRICAL AND ELECTRONIC ENGINEERING (MENG)

Why choose this program ?

Our electrical and electronic engineering courses offer a breadth and depth of study that you'll find at few other UK universities. This master's in electrical and electronic engineering builds on the BEng programme. The programme gives you the opportunity to learn the management skills needed to become a leader in this industry and to explore additional specialist modules.

Electrical engineering is about the generation, distribution and use of electricity on a large scale, while electronics is all about the components and systems that make electronic devices work. On this electrical and electronic engineering degree you'll gain a thorough grounding in both disciplines, and learn how they interrelate.

You'll learn from researchers who will share their passion for their areas of expertise, which include high-voltage electrical engineering, sustainable energy and machine learning. Examples of practical design work on this course include designing and testing a microprocessor, a robot, or a large integrated circuit.

You can choose to study topics to suit your career path, including:

- green electronics
- medical technologies
- nanoelectronics
- quantum devices

You'll learn to use industry-standard software for tasks such as the simulation of power line systems. For some students, a design project can lead to the publication of their first scientific paper. You'll also gain direct industry experience through work placements.

This MEng Electrical and Electronic Engineering degree is 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.

This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.

The skills you can expect to focus on and gain from this course include:

- Research
- Critical thinking
- Commercial awareness
- Self-management
- Confidence
- Leadership
- Communication
- Teamwork
- Creativity
- Networking
- EDI leadership
- Adaptability
- Problem solving
- Resilience

Modality

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Open registration Limited spots

A*AA including mathematics (minimum grade A) and either physics, further mathematics, electronics or computer science (minimum grade A)

Apply for partial scholarships


This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.

The skills you can expect to focus on and gain from this course include:

- Research
- Critical thinking
- Commercial awareness
- Self-management
- Confidence
- Leadership
- Communication
- Teamwork
- Creativity
- Networking
- EDI leadership
- Adaptability
- Problem solving
- Resilience

SYLLABUS

Year 1

- 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

Year 2

- Applied Electromagnetism
- Communications
- Control and Systems Engineering
- Design
- Signal Processing
- Electrical Machines and Drives
- Electrical and Mechanical Materials
- Electronic and Computer Systems
- Electronic and Photonic Devices
- Power Circuits and Transmission
- Programming and Modelling Mechatronic Systems
- Programming and Simulation of Electronic Systems
- Simulation and Modelling for Electrical Engineering

Year 3

- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Power Electronics
- Advanced Computer Architecture
- Advanced Partial Differential Equations
- Analogue and Mixed Signal Electronics
- 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
- High Voltage Engineering
- Integral Transform Methods
- Machine Learning Technologies
- Nanoelectronic Devices
- Operational Research
- Optimisation
- Photonics I
- Photonics II
- Power Systems Engineering
- Power Systems Technology
- Real-Time Computing and Embedded Systems
- Robotic Systems

Year 4

- Group Design Project
- Industrial Studies
- Advanced Wireless Communications Networks and Systems
- Analogue and Mixed Signal CMOS Design
- Applied Control Systems
- Cryptography
- Digital Systems Synthesis
- Embedded Processors
- Evolution of Complexity
- High Voltage Insulation Systems
- Image Processing
- Individual Research Project
- Intelligent Mobile Robotics
- 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
- Power Distribution: Design, Operation and Protection
- Power Electronics for DC Transmission
- Power Generation: Technology and Impact on Society
- Power System Dynamics, Stability and Control
- Power Systems Operation and Economics
- Quantum Devices and Technology
- Secure Hardware and Embedded Devices
- Silicon Photonics
- VLSI Design Project
- VLSI Systems Design
- Wireless Networks
- Wireless Transceiver Design and Implementation

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