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MEng Electronic Engineering

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Electronic Engineering
Duration
4 years
UCAS code
H603
Typical offer
A-level A*AA, IB 38

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, an undergraduate degree in Electrical and Electronic Engineering. 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. The programme is accredited by the Institution of Engineering and Technology as meeting the requirements for Chartered Engineer registration and incorporates industry placement opportunities alongside project work. The first year establishes fundamental mathematical and physical principles through compulsory modules such as Circuits, Digital Systems, Electronic Systems and Devices, Engineering Mathematics, and Programming. The second year advances core knowledge in electromechanical systems with modules including Applied Electromagnetism, Communications, Control and Systems Engineering, Design, Electronic and Computer Systems, and Signal Processing. The third year deepens technical capabilities through compulsory studies like Digital IC and Systems Design, Foundations of Machine Learning, Nanoelectronic Devices, and a multi-phase Individual Project, while offering optional modules covering topics such as Advanced Computer Architecture, Biosensors and Diagnostics, and Green Electronics. The final year centres on advanced application and collaborative practice via the Group Design Project and Industrial Studies, alongside specialised optional modules including Computer Vision (MSc), Intelligent Mobile Robotics, and Microfabrication.

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
  • Digital Coding and Transmission
  • Digital IC and Systems Design
  • Foundations of Machine Learning
  • Nanoelectronic Devices
  • Part III Individual Project Phase 1
  • Part III Individual Project Phase 2
  • Photonics I
  • Photonics II
  • Security of Cyber Physical Systems
  • Advanced Computer Architecture
  • Advanced Partial Differential Equations
  • Analogue and Mixed Signal Electronics
  • Biosensors and Diagnostics
  • Computational Biology
  • Control System Design
  • Digital Control System 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
  • Operational Research
  • Precision Health: Machine Learning Under Uncertainty
  • Real-Time Computing and Embedded Systems
  • Robot Kinematics and Dynamics
  • Signal and Image Processing
  • Web and Cloud Based Security
  • Wireless and Optical Communications
  • Group Design Project
  • Industrial Studies
  • Advanced Fibre Telecommunication
  • 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
  • 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