Postgraduate Module Selection 2024/25

Our taught MEng in Electronic & Computer Engineering (MECE) programme is highly flexible, allowing participants to customise their programme based on preferred specialisation areas and to choose from an offering of a wide range of modules. Students may tailor their selection of modules to best align with, or to expand, their existing skill set. To meet the overall Masters programme requirements, complete eight taught modules (of which four or more must be Level 9 modules) plus a Masters project.

Choose between the General Masters, with maximum flexibility of module choice, or four Majors options in specialised areas. To meet the requirements for a Major, complete the four core major modules listed below, plus any four other 7.5 credit taught modules, plus the specific Major Project. Recommended options for each major are listed below, however, students are free to tailor their optional module choices. The General Masters Project is taken if choosing the Masters without a Major option.

Qualifier students choose from the same set of 7.5 credit modules (full list below), but do not take a project module until they have transferred onto the MEng programme.

Nanotechnology & Photonics Major (NTP) – Core Modules Level Credits Semester
EE506: Photonic Devices 9 7.5 1
EE559: Nanoelectronics Technology 9 7.5 1
EE508: Device Manufacturing 9 7.5 2
EE518: Photonic Applications and Technologies 9 7.5 2
EE581: Masters Project – Nano Tech. Major 9 30 Year Long
Data and Telecommunications Networks Major – Core Modules (Choose four 7.5 credit modules) Level Credits Semester
EE500: Network Performance
9 7.5 1
EE506: Photonic Devices 9 7.5 1
EE514: Data Analysis and Machine Learning II 9 7.5 2
EE518: Photonic Applications and Technologies
9 7.5 2
EE521: Future Network Architectures
9 7.5 2
EE562: Network Stack Implementation 9 7.5 2
EE596 Masters Project – DTN Major 9 30 Year Long
Internet of Things (IoT) Major – Core Modules Level Credits Semester
EE515: Real-Time Digital Signal Processing (DSP) 9 7.5 1
EE513: Connected Embedded Systems 9 7.5 2
EE514: Data Analysis and Machine Learning II 9 7.5 2
EE562: Network Stack Implementation 9 7.5 2
EE580: Masters Project – IoT Major 9 30 Year Long
Image Processing & Analysis (IPA) Major – Core Modules Level Credits Semester
EE515: Real-Time Digital Signal Processing (DSP) 9 7.5 1
EE507: Entrepreneurship for Engineers 9 7.5 2
EE514: Data Analysis and Machine Learning II 9 7.5 2
EE544: Computer Vision 9 7.5 2
EE595: Masters Project – IPA Major 9 30 Year Long
General Masters Modules / Majors Optional Module Choices Level Credits Semester
EE402: OOP with Embedded Systems 8 7.5 1
EE452: Wireless/Mobile Communications 8 7.5 1
EE453: Image Processing & Analysis (Plus) 8 7.5 1
EE463: Solid State Electronics & Semiconductor Devices 8 7.5 1
EE474: Data Analysis & Machine Learning I 8 7.5 1
EE488:  Mathematical Techniques and Problem Solving 8 7.5 1
EE500: Network Performance 9 7.5 1
EE506: Photonic Devices 9 7.5 1
EE509: Data Network Protocol Analysis & Simulation 9 7.5 1
EE515: Real-Time Digital Signal Processing (DSP) 9 7.5 1
EE516I: Blockchain Scalability 9 7.5 1
EE535: Energy System Decarbonisation 9 7.5 1
EE559: Nanoelectronics Technology 9 7.5 1
EE417: Web Application Development 8 7.5 2
EE445: Bioelectronics 8 7.5 2
EE454: Optical Communications System Design 8 7.5 2
EE459: Mechatronic System Simulation & Control 8 7.5 2
EE470: Introduction in Engineering Management 8 7.5 2
EE497: 3D Interface Technologies 8 7.5 2
EE5001: Security for IoT and Edge Networks 9 7.5 2
EE507: Entrepreneurship for Engineers 9 7.5 2
EE508: Device Manufacturing 9 7.5 2
EE513: Connected Embedded Systems 9 7.5 2
EE514: Data Analysis and Machine Learning II 9 7.5 2
EE517: Network Analysis and Dimensioning 9 7.5 2
EE518: Photonic Applications and Technologies 9 7.5 2
EE519: Wireless Communications in Fading Channels 9 7.5 2
EE521: Future Network Architectures 9 7.5 2
EE544: Computer Vision 9 7.5 2
EE562: Network Stack Implementation 9 7.5 2
       
EE592: General Masters Project 9 30 Year Long

 

Recommended Optional Modules for Majors

Major in Nanotechnology & Photonics (NTP)

Core Skills: Semiconductor and photonic device design and production, industry practices

Major in Data and Telecommunications Networks

Core Skills: Next generation network design, implementation and performance analysis.

Major in the Internet of Things (IoT)

Core Skills: Connected-embedded, network programming, real-time DSP, data analysis

Major in Image Processing & Analysis (IPA)

Core Skills: Data analytics, machine learning, deep learning, signal processing, industry context