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On this MSc course you will learn how to design, build, and program robots with advanced electronics components, such as sensors, microcontrollers, and actuators. You will learn how to use electronic devices and components to sense the environment, control the motion of the robot, and integrate the various subsystems of the robot.
The course covers a wide range of topics, including sensor design, control systems and embedded systems among others. You will learn to program microcontrollers, design circuits, and use simulation tools to model and test their designed robots. You will also gain practical experience in building and testing robotic systems, allowing them to apply their knowledge in real-world scenarios.
This module offers a comprehensive exploration of the synergy between electronics and robotics, encompassing essential components such as microcontrollers, sensors, motors, and sustainability considerations. This module combines theoretical knowledge with practical applications to empower students with a deep understanding of electronic systems' pivotal role in contemporary robotics. You will delve into topics ranging from the fundamentals of electronics to advanced sustainable practices in robotics design, equipping you with versatile skills for the ever-evolving field of robotics.
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. 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 your work on your final project and extra-curricular activities available within the school.
The module introduces fundamental concepts and methods in Machine Learning and discusses their applications in smart mechatronic systems. You are firstly introduced to classical methods before they are taught modern state-of-the-art AI approaches. The module is taught in a practical fashion and therefore some knowledge of a programming language is required. This Machine Learning module, through its practical focus on smart mechatronic systems, empowers students with digital competency and creative problem-solving skills. Engaging with both classical and state-of-the-art AI approaches cultivates a questioning mindset and adaptability. The coursework encourages collaboration and resilience as you tackle complex real-world problems like autonomous driving. Regular feedback promotes self-awareness, and an enterprise mindset is fostered through real-world problem solving.
The module offers a comprehensive exploration of fundamental concepts and practical applications related to sensors, actuators, and embedded systems in the context of mechatronics and robotics. You will delve into the intricate world of electronics, focusing on the critical components that drive autonomous systems. The module combines theoretical knowledge with hands-on projects, providing you with a strong foundation in the design, implementation, and optimization of sensor-driven mechatronic systems. This module will provide you with a solid foundation in the electronics and embedded systems aspects of mechatronics and robotics, preparing you for the challenges of designing and developing sensor-driven autonomous systems.
Research Techniques, Innovation and Sustainability equips you with the skills and knowledge required to select and justify a research topic and then to plan and execute that research project. Research is a broad topic covers a variety of activities that range from undertaking a project as part of an academic programme, through research and development in the commercial environment, to acquiring information to inform projects undertaken as part of routine business practice. This module introduces research in these contexts and allows you to develop your own research plan. As part of the module, you will consider setting research questions and determining hypotheses, acquire relevant information and data, apply suitable analytical techniques, and evaluate the significance and potential applications of their research findings. You will also develop your innovation skills through a combination of workshops and team working, resulting in submission of an innovation proposal aimed to address UN Sustainable Development Goal 11, Sustainable Cities and Communities.
The module covers many practical aspects surrounding research in the commercial environment including intellectual property and professionalism, and sustainability is embedded throughout the module both in course content and via development of the innovation proposal.
Drawing on previous knowledge and experience, the dissertation module allows you to study an area of interest within your chosen field in significant depth. In undertaking the dissertation, you will develop not only a deeper understanding of your subject area but will also be able to demonstrate a high level of autonomy in terms of project dissertation planning and management. You will be able to demonstrate knowledge and competence in reviewing existing published literature and data and, through your own efforts, apply one or more of a range of research methods to collect and analyse data and draw well-founded conclusions as a result of your research. The main output from the module is a final report but the option is available for you to prepare their work in the format of an article suitable for submission to a relevant conference or journal.
This module provides you with the knowledge of the basic principles of human-robot interaction (HRI), exploring the fundamentals of a new area of research related to robotics, focusing on the physical, cognitive, and social interaction between humans and robots. This module aims to provide you with a comprehensive understanding of HRI principles, theories, and practical applications. You will learn to design, evaluate, and implement effective HRI systems that enable seamless communication and collaboration between humans and robots.
This module is designed to expand your knowledge and skills in the fields of artificial intelligence, in particular, deep learning applied to robotic applications. The module covers a range of topics, including Convolutional Neural Networks (CNNs), Deep Reinforcement Learning (DRL) and Recurrent Neural Networks (RNNs). You will gain a deeper understanding of how to design and implement robotic systems that can perform complex tasks efficiently and intelligently such as responding to human behaviour and navigating autonomously in complex and dynamic environments.
The Professional Placement module is a core module if you're following a masters programme that incorporates an extended professional placement. It provides you with the opportunity to apply your knowledge and skills in an appropriate working environment, and develops and enhances key employability and subject specific skills in your chosen discipline. You may wish to use the placement experience as a platform for a major project or your future career.
It is your responsibility to find and secure a suitable placement opportunity; this should not normally involve more than two placements which must be completed over a minimum period of 10 months and within a maximum of 12 months. The placement must be approved by your Course Leader prior to commencement to ensure its suitability. You will have access to the standard placement preparation activities offered by the Student Engagement and Enhancement (SEE) group.
Read more about the postgraduate work placement scheme.
Many postgraduate courses at Kingston University allow students to take the option of a 12-month work placement as part of their course. Although the University supports students in finding a placement and organises events to meet potential employers, the responsibility for finding the work placement is with the student; we cannot guarantee the placement, just the opportunity to undertake it. You may find securing a professional placement difficult as they are highly competitive and challenging, but they are also incredibly rewarding. It is very important to prepare and apply yourself if this is the route you wish to take. Employers look for great written and oral communication skills and an excellent CV/portfolio. As the work placement is an assessed part of the course, it is covered by a student's Student Route visa.
Find out more about the postgraduate work placement scheme.
Please note: each application is assessed on an individual basis and may be subject to additional requirements, such as undertaking short course(s), work experience and/or English language qualification(s). Meeting particular minimum entry requirements does not automatically guarantee a place.
In order to complete your programme successfully, it is important to have a good command of English and be able to apply this in an academic environment. Therefore, if you are a non-UK applicant* you will usually be required to provide certificated proof of English language competence before commencing your studies.
For this course you must pass IELTS academic test in English with an overall score of 6.5, with no element below 6.0, or meet the scores listed on the alternative online tests.
Applicants who do not meet the English language requirements may be eligible to join our pre-sessional English language course.
Please make sure you read our full guidance about English language requirements, which includes details of other qualifications we'll consider.
* Applicants from one of the recognised majority English speaking countries (MESCs) do not need to meet these requirements.
You will find more information on country specific entry requirements in the International section of our website.
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When not attending timetabled sessions you will be expected to continue learning independently through self-study. This typically will involve reading journal articles and books, working on individual and group projects, undertaking preparing coursework assignments and presentations, and preparing for exams. Your independent learning is supported by a range of excellent facilities including online resources, the library and CANVAS, the online virtual learning platform.
As a student at Kingston University, we will make sure you have access to appropriate advice regarding your academic development. You will also be able to use the University's support services.
We aim to provide feedback on assessments within 20 working days.
There is a wide range of facilities for practical work at our Roehampton Vale campus, where this course is based. You will have access to a modern environment with the latest technology and industry-standard equipment.
Here you can find more details about fees for this course, as well as any funding opportunities available to you for this course. Please note that fees relate to the academic year in question and will increase in future years.
If you require a Student Route visa to reside in the UK you may not be able to enrol on a part-time programme at the University.
Kingston University has carefully considered the Student Route visa and has decided not to offer Student Route visa part-time study. Student Route visa sponsorship is only available to students studying on a full-time course.
If you start your second year straight after Year 1, you will pay the same fee for both years.
If you take a break before starting your second year, or if you repeat modules from Year 1 in Year 2, the fee for your second year may increase.
If you are a UK student, resident in England and are aged under the age of 60, you will be able to apply for a loan to study for a postgraduate degree. For more information, read the postgraduate loan information on the government's website.
Kingston University offers a range of postgraduate scholarships, including:
If you are an international student, find out more about scholarships and bursaries.
We also offer the following discounts for Kingston University alumni:
Depending on the programme of study, there may be extra costs that are not covered by tuition fees which students will need to consider when planning their studies. Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, access to shared IT equipment and other support services. Accommodation and living costs are not included in our fees.
Where a course has additional expenses, we make every effort to highlight them. These may include optional field trips, materials (e.g. art, design, engineering), security checks such as DBS, uniforms, specialist clothing or professional memberships.
Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. You may prefer to buy your own copy of key textbooks, this can cost between £50 and £250 per year.
There are open-access networked computers available across the University, plus laptops available to loan. You may find it useful to have your own PC, laptop or tablet which you can use around campus and in halls of residences. Free WiFi is available on each of the campuses. You may wish to purchase your own computer, which can cost between £100 and £3,000 depending on your course requirements.
In the majority of cases written coursework can be submitted online. There may be instances when you will be required to submit work in a printed format. Printing, binding and photocopying costs are not included in your tuition fees, this may cost up to £100 per year.
All field trips that are compulsory to attend to complete your course are paid for by the University. There may be small fees incurred for optional field trips such as travel costs and refreshments.
Travel costs are not included in your tuition fees but we do have a free intersite bus service which links the campuses, Surbiton train station, Kingston upon Thames train station, Norbiton train station and halls of residence.
If the placement year option is chosen, during this year travel costs will vary according to the location of the placement, and could be from £0 to £2,000.
You will be well equipped to work in a variety of industries that are rapidly adopting automation and robotics technology, such as manufacturing, healthcare, logistics, and transportation. You will also be able to contribute to cutting-edge research in the field of robotics.
The information on this page reflects the currently intended course structure and module details. To improve your student experience and the quality of your degree, we may review and change the material information of this course. Course changes explained.
Programme Specifications for the course are published ahead of each academic year.
Regulations governing this course can be found on our website.