BEng Electrical Engineering
Entry requirements
A level: AAA including mathematics and either physics, electronics or further mathematics 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 Physics
About this course
Bachelor of Engineering in Electrical Engineering, an Electrical and Electronic Engineering degree centred on mathematical and computational approaches to physical theory. Core topics include Programming, Systems Design, Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, Microelectronics, Control Systems, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students complete an individual project spanning two phases in the final year and benefit from access to specialized facilities including the Tony Davies High Voltage Laboratory. The first year establishes fundamental scientific and mathematical principles through modules such as Circuits, Digital Systems, and Engineering Mathematics alongside a practical laboratory programme and an introduction to programming in C. The second year progresses to advanced engineering concepts via Applied Electromagnetism, Control and Systems Engineering, and Simulation and Modelling for Electrical Engineering, building competence in circuit theory and machine operation. The final year comprises core studies in High Voltage Engineering and Power Systems Technology, while optional modules allow specialisation in areas such as Control System Design, Power Electronics, Robot Kinematics and Dynamics, and Precision Health: Machine Learning Under Uncertainty.
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
- Control and Systems Engineering
- Design
- Electrical Machines and Drives
- Electrical and Mechanical Materials
- Power Circuits and Transmission
- Signal Processing
- Simulation and Modelling for Electrical Engineering
- High Voltage Engineering
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Power Systems Technology
- Advanced Partial Differential Equations
- Biosensors and Diagnostics
- Control System Design
- Digital Control System Design
- From Data to Dynamical Model: System Identification
- Guidance, Navigation and Control
- Imaging for Digital Health and Bioscience
- Integral Transform Methods
- Introduction to Bionanotechnology and Computational Biology
- Operational Research
- Power Electronics
- Power Systems Engineering
- Precision Health: Machine Learning Under Uncertainty
- Robot Kinematics and Dynamics
- Space Systems Engineering