|Full time||1 year||Delivered in one-week blocks||
|Part time||2 years||Delivered in one-week blocks||
Mechatronics is an exciting, growing field that combines mechanical, electronic and control systems to create a complete device. It mostly relates to the mechanical systems that perform relatively fast and precise motions and therefore require sophisticated electronic devices and control algorithms. This hands-on course will help you develop the multidisciplinary knowledge that the fast-moving industrial, commercial and domestic sectors demand of their technical professionals.
The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer. Accredited MSc graduates who also have a BEng(Hons) accredited for CEng, will be able to show that they have satisfied the educational base for CEng registration.
Although mechatronics may be perceived in combination with robotics, as robots are indeed fast and precise mechanical systems, it also has wider applications, such as in hard-disk drives for computers, tracking cameras for surveillance applications, intelligent actuators in automotive systems and many other areas including devices used in the field of healthcare and rehabilitation, like intelligent prosthetic devices.
The hands-on approach on the course, using our state-of-the art multidisciplinary laboratories with equipment from National Instruments, Freescale, Agilent Technology and many more, adds value to this postgraduate degree. The course dovetails with research activities of the teaching staff, implementing the latest advances in our research. Utilising applied research, you have the opportunity to do your own research within an individual industry-relevant 'capstone' project. This includes preparation of a scientific paper, giving an opportunity for that first breakthrough into publishing your work.
Coursework and/or exams, presentations, industrial or research project.
Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.
Details on how to apply will be confirmed shortly.
Please note that this is an indicative list of modules and is not intended as a definitive list.
This module is designed to provide you with the research skills and techniques necessary to select and justify a research topic, plan project execution, use various resources to carry out a literature search and successfully complete the project and other module assignments on the course. It also addresses issues related to presentation of technical reports at master level and for the purpose of wider publication in learned media.
The module further develops your knowledge and skills in business and management, with a particular focus on entrepreneurship and innovation. It supports you in producing proposals for enterprise ideas such as new products or services, or innovations in existing processes or organisations. Concepts of total quality management to enhance quality of products and processes in an industrial setting are presented and application of supporting quality tools and techniques are discussed.
The module content is designed to enhance your employability potential in a variety of national and international industrial organisations, or career opportunities in research and development arena. It also equips you with a set of skills to set up your own business in an engineering innovation area should you wish to do so.
This module encompasses a range of related fields, such as control and embedded implementation. It introduces classical design and tools for analysis of control systems. Time domain design methods are followed by frequency domain design methods. Although the module mainly deals with continuous-time systems, the discrete-time systems are also discussed. This is followed on by implementation, where sensors and actuators are introduced. A strong feature of this module is the delivery by the academic staff from the Industrial Control Research Group, using industrial state-of-the-art equipment. The learning is supported by practical exercises where students design and implement embedded control systems using computer-aided design tools and embedded microcontroller-based systems including real-time industrial computers. In additional to the theoretical concepts, the focus of this module is on implementation, providing you with a set of skills that will enhance their employability. A range of transferable skills gained in this module is aimed to help with the work on the final project and extra-curricular activities available within the school.
This module provides high level view on the design of mechatronic and automation systems. Applications and types of such systems are discussed. Main components of mechatronic design are introduced, including mechanical design through specialised software, sensors and actuators, control design, and software development for real-time implementation. A strong feature of this module is the delivery by the academic staff from the Industrial Control Research Group. Theoretical material is illustrated by practical laboratory sessions on real-time design, using industrial standard, state-of-the-art equipment. A range of transferable skills gained in this module is aimed to help with the work on the final project and extra-curricular activities available within the school.
This is a core module for MSc courses in the School of Mechanical and Automotive Engineering, forming a capstone experience for students on these courses. The module allows you to research and study an engineering topic which is of personal interest, thus allowing you to demonstrate the mastery of your subject, and develop your ability to analyse and evaluate specific areas that may not have been previously covered in-depth in the course.
The vigorous structure of the module provides you with an opportunity to identify an industry-based (or research-focused) project area, establish a feasible hypothesis, find creditable solutions, analyse results and offer recommendations. The module enables you to acquire and appraise new knowledge and apply individual judgement to solve new and often complex engineering problems using cutting-edge technology. It also allows you to demonstrate high levels of responsibility, organisational capability and effective communication with others including the supervisor, wider research community and other stake holders. The module also encourages you to recognise, question and deal with the ethical dilemmas that are likely to occur in engineering professional practice and research.
The project applications can be individually tailored to support your career plan and prepare you to tackle real industrial problems with maturity and rationality hence enhancing your employability potential.
The module covers advanced CAD/CAM techniques in the conceptual design and manufacture and is heavily focussed on the surface modelling and reverse engineering methods prior to manufacture. Also this module will cover rapid manufacturing methods involving mould design and machining tool path optimisation and full machining simulation verification, and machining collision avoidance.
This module introduces advanced concepts in control design and prepares students for implementation of digital, real-time embedded control systems. The emphasis is on multivariable systems and state-space models. Furthermore, the module provides mathematical tools to analyse the dynamic behaviour of mechanical parts of a robot, eg a robot arm. It is further extended to cover mobile robots workspace exploration. The robot control architecture is discussed and the notion of intelligent robots is introduced. Finally, the robot's communication with external world, sensors and actuators are explored. A strong feature of this module is the delivery by the academic staff from the Industrial Control Research Group, using industrial state-of-the-art equipment.
Digital signal processing is a pervasive tool in the modern world, though much of its use is embedded within specialist software and hardware. Most modern instrumentation systems will employ DSP algorithms to analyse sensor readings, and in some cases (eg flight control systems) automatically initiate appropriate responses. Mobile phone technology is singularly dependent on the ability of DSP algorithms to extract meaningful information from broadcast signals. DSP algorithms underpin the revolution in the availability of digital video and audio recordings.
This module is a core module in Embedded Systems field and the Digital Image and Signal Processing field, and an optional module in other computing and information system postgraduate fields. It introduces you to the fundamental concepts of digital signal processing and prepares you to understand how to represent, analyse and manipulate digital signals, providing a theoretical background as well as practical work. It also equips you to evaluate, design with and programme digital signal processors, considering their architecture and features and matching these to embedded applications. Practical work covers installing the development tools for a digital signal processor and using them to produce a working application.
You will have the opportunity to study a foreign language, free of charge, during your time at the University as part of the Kingston Language Scheme. Options currently include: Arabic, French, German, Italian, Japanese, Mandarin, Portuguese, Russian and Spanish.