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This MSc is supported by a number of major UK companies including BAE Systems, Rolls-Royce, QinetiQ and Cobham.
This programme is suitable for engineering, mathematics or physical sciences graduates who wish to specialise in themes in Unmanned Systems or to support continued professional development. It offers a sound understanding of the relevant fundamental science, methods, analysis and engineering applications. Students will be able to design a build a sophisticated unmanned system in the course of their studies. Students will have access to rapid prototyping facilities and testing facilities to put their designs through mission testing.
The aim of this MSc course is to:
* Provide graduate engineers with the necessary skills and knowledge to become unmanned vehicle systems designers.
* Give students realistic experience in undertaking a full conceive, design, build, operate development cycle.
* Provide students with the ability to undertake an individual project where they can undertake a deep exploration of a research topic relevant to unmanned systems.
* Encourage students to explore innovative but possibly high risk design solutions that might not be possible within a commercial setting.
* Allow students to undertake a specialist role within a team and to understand and actively influence the interactions between a wide variety of electro-mechanical systems and disciplines.
* Give students a detailed framework and methodology that allows them to undertake realistic trade-offs between capability, unit cost and life cycle cost.
* Provide flexible learning through a wide choice of options
Careers: Engineering professions; further research
Modules
Core modules include:
Complex System Design Tools and Techniques
The module Complex System Design Tools and Techniques has emerged from an EPSRC funded project; DECODE (Decision Environment for COmplex DEsign). One of the aims of DECODE is to develop a set of software tools and a design methodology that will allow students to quickly explore the design space for unmanned vehicles.
Systems Reliability and Prediction
Use of reliability modelling software; use of mathematical representations of reliability estimates; Weibull modelling; setting of Weibull parameters.
Engineering Materials
Manufacturing with Metals; Materials in Transport; Composites Engineering; Surface Engineering; Introduction to advanced mechanical engineering science; Failure of Materials; Theory of Elasticity; Microstructural Characterisation
Computational Engineering Design
Advanced Computational Methods in Engineering; Design Search and Optimisation; Numerical Methods; Uncertainty Quantification & Robust Design; Advanced Finite Element Analysis; Applications of CFD
Mechatronics
Advanced digital control; Advanced electrical systems; Advanced Digital Control; Classical Control Design; Robotic Systems; Introduction to advanced mechanical engineering science; Numerical methods; Instrumentation; Uncertainty quantification and robust design
Optional modules include:
Autopilot systems, Avionics, Control system design, Instrumentation, Design optimisation 1, Design optimisation 2, Composites Engineering
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
Accreditation
Royal Aeronautical Society