Course Structure
Modules
Students take eight taught modules, of which at least six must be 5BX (core EEE) modules, and up to two may be selected from other approved options.
Core EEE modules*
- 5B1 - Applied AI & ML and Advanced Computing
- 5B2 - Integrated Electronic Devices
- 5B3 - Applied Intelligent Signal Processing
- 5B4 - Quantum Computing, Communications and Emerging Technologies
- 5B5 - Photonic Devices
- 5B6 - Power Electronics
- 5B7 - Optical Wireless Technologies
- 5B8 - Advanced Wireless Communications
- 5B9 - Micro-Nano Fabrication and NanoEngineering
- 5B10 - Sensor, Embedded and Control Systems
- 5B11 - Design & Simulation of Circuits and Systems
- 5B12 - Entrepreneurship, University Spin-offs and IP Management
- 5B13 - EV and Transport Electrification
Other CUED modules available to MPh EEE students (all MEng level)*
- 4B2 - Power Microelectronics
- 4B5 - Quantum and Nano-technologies
- 4B11 - Photonic Systems
- 4B13 - Electronic Sensors and Instrumentation 4B19 Renewable Electrical Power
- 4B23 - Optical Fibre Communication
- 4B24 - Radio Frequency Systems
- 4B28 - Very Large-scale Integration (VLSI)
- 4C3 - Advanced Functional Materials and Devices
- 4G2 - Bioelectronics
- 4G9 - Biomedical Engineering
- 4G10 - Brain Machine Interfaces
- 4M23 - Electricity and Environment
Teaching methods
Modules will be taught via traditional lecture courses, some with associated practical classes. The course will emphasize coursework in several of the taught modules.
Research Project
Projects are solicited from prospective supervisors and formally assigned by Week 5 of the Michaelmas Term, leading to a dissertation and poster presentation and continuing until late July.
* Please note that module offerings are subject to change and may not be available every academic year or term.