← All courses at University of Southampton

MEng Electronic Engineering with Computer Systems

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Electronic Engineering with Computer Systems
Duration
4 years
UCAS code
H6G4
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 with Computer Systems, a degree centred on electrical and electronic engineering and computer science. 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, Artificial Intelligence & Machine Learning. This four-year integrated master's programme is accredited by the Institution of Engineering and Technology to fully meet the academic requirement for professional registration as a Chartered Engineer. Year one establishes fundamental concepts through modules such as Circuits, Digital Systems, Electronic Systems and Devices, and Engineering Mathematics, covering underlying physical properties, programming, and mathematical techniques. Year two advances technical knowledge with Applied Electromagnetism, Control and Systems Engineering, Electronic and Computer Systems, and Signal Processing, exploring operating systems and system control. In year three, students undertake the Part III Individual Project Phase 1 and Part III Individual Project Phase 2 alongside optional choices spanning subjects like Advanced Computer Architecture, Biosensors and Diagnostics, and Foundations of Machine Learning. The final year includes compulsory practical work through Group Design Project and Industrial Studies, complemented by advanced optional modules such as Advanced Micro and Nanosystems, Computer Vision (MSc), Cryptography, 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
  • Digital IC and Systems Design
  • 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
  • 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
  • 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
  • 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
  • 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