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BEng Electrical and Electronic Engineering

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Electrical and Electronic Engineering
Duration
3 years
UCAS code
H600
Typical offer
A-level AAA, IB 36

Entry requirements

A level: AAA including mathematics and either physics, further mathematics, electronics or computer science IB: Pass, with 36 points overall with 18 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

Bachelor of Engineering in Electrical and Electronic Engineering, an electrical and electronic engineering degree focused on the principles and applications of modern circuitry, systems, and power technology. Core topics include Programming, Systems Design, Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, and Microelectronics. The course is accredited by the Institution of Engineering and Technology on behalf of the Engineering Council, and students have access to experimental research facilities equipped with industry-standard hardware and software. The first year covers fundamental engineering principles through compulsory modules such as Circuits, Digital Systems, and Engineering Mathematics. The second year builds upon this foundation with core subjects including Applied Electromagnetism, Communications, and Control and Systems Engineering, alongside optional modules covering topics like electrical machines, drives, and specialized materials. In the final year, students complete individual project phases alongside compulsory study in Power Electronics, while choosing from a wide range of advanced options spanning machine learning, photonics, control systems, and biomedical technologies.

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
  • 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
  • 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
  • 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
  • High Voltage Engineering
  • Imaging for Digital Health and Bioscience
  • Integral Transform Methods
  • Introduction to Bionanotechnology and Computational Biology
  • Introduction to Quantum Technologies
  • Machine Learning Technologies
  • Nanoelectronic Devices
  • Operational Research
  • Photonics I
  • Photonics II
  • Power Systems Engineering
  • Power Systems Technology
  • Precision Health: Machine Learning Under Uncertainty
  • Real-Time Computing and Embedded Systems
  • Robot Kinematics and Dynamics
  • Signal and Image Processing
  • Wireless and Optical Communications