MEng Mechatronic Engineering
Entry requirements
A level: A*AA including A* in Mathematics and A in either Physics, Electronics, Further Mathematics, Chemistry or Computer Science
About this course
MEng in Robotics Engineering, providing advanced study over a 4-year duration. Core topics include Programming, Systems Design, Circuit Design, Control Systems, Embedded Systems, and Artificial Intelligence & Machine Learning. Students complete an individual project in the final year.
Modules
- Principles of Electrical and Electronic Engineering
- Digital Electronics
- Electrical and Electronic Engineering in Practice
- Programming and Software Engineering
- Electronic Materials and Devices
- Mathematics for EEE 1E1
- Mathematics for EEE 1E2
- Microcontroller Engineering
- Engineering Management
- Electromagnetic Fields
- Signals and Systems
- Machines, Drives & Power Electronics
- Electronic Circuit Design
- Control Systems I
- Applied Mechanics & Industrial Robotics
- Embedded Systems Project
- Mobile Robots and Autonomous Systems
- Power Electronics
- Mechatronic Analysis & Design
- Control Systems II
- Sensors & Instrumentation
- Individual Project
- Commercial Technology Development
- Numerical Analysis
- Data Networking
- Concurrent Systems
- High Speed Digital and Mixed Signal Design
- Digital Signal Processing
- Transmission Lines & Optical Fibres
- Computer Systems Architecture
- Electrical Drive Systems
- Independent Study and Technical Explanations
- Leadership in Action Online Unit
- Understanding Mental Health
- AI: robot overlord, replacement, or colleague?
- Trust and Security in a Digital World: From Fake News to Cyber Criminals
- Creating a Sustainable World: 21st Century Challenges and the Sustainable Development Goals
- Digital Society: Your Place in a Networked World
- Team Project
- Advanced Technology Enterprise for EEE
- Antennas and RF Systems
- Applied Optimal Control and Estimation
- Machine Learning & Optimisation Techniques
- Digital Image Processing
- Microwave Circuit Principles and Design
- Linear Systems Theory
- System Identification and Artificial Intelligence
- Digital Control and Model Predictive Control
- Nonlinear and Adaptive Control
- Robust Control and Convex Optimisation
- Electrical Machines and Power Electronic Modelling
- Nanoelectronic Devices and Nanomaterials
- Solar Energy Technologies
- Networks and Internet of Things
- Robotic Manipulators
- Software for Robotics
- Multi-Sensor Signal Processing & Imaging