Robotics MSc
Subject and course type
- Engineering, electronics and robotics
- Postgraduate
Our Robotics MSc is an exciting opportunity to develop advanced skills in robotics. Learn how to design, build and program sophisticated robots, while working with cutting-edge electronics.
Please note: this course was previously name Electronics and Robotics MSc. The delivery and content of the course remain the same.
You are reading:
Innovate using advanced robotic systems
Create intelligent and highly capable robotic systems to enhance the ever-changing field.
Prepare for a career in advanced robotics, familiarising yourself with sensors, microcontrollers and actuators.
The Robotics MSc at Kingston University offers an exciting journey into the innovative world of robotics. You’ll explore topics like sensor design, control systems and embedded systems. Gain hands-on experience in programming microcontrollers, designing circuits and testing robotic systems.
By gaining exposure to and simulating advanced robots, you’ll tackle real-world challenges and develop sought-after skills required in the industry. This course opens doors to thriving careers in robotics and autonomous systems across industries like manufacturing, healthcare and transportation. There is already a demand for skilled professionals that continues to grow.
So far, my experience with the MSc in Electronics and Robotics at Kingston University has been fantastic. The lecturers are incredibly supportive and approachable, and the hands-on learning feels much more personal and engaging compared to other universities I’ve experienced.
Why choose this course
Work on real-world problems whilst gaining hands-on experience in our state-of-the-art robotics laboratories. Work with specialist equipment in the University’s CAVE (Centre for Augmented and Virtual Reality Environments) and a range of industry-standard engineering labs at our Roehampton Vale campus.
Whilst studying Electronics and Robotics MSC, each module is designed to provide you with essential skills when working in the industry. From sought-after expertise in machine learning, to detailed technical skills in industrial robotics, you’ll explore career-focused training.
Work placement scheme
Robotics MSC has the option of a 12-month work placement, offering invaluable industry experience. While securing a placement is the student’s responsibility, the University provides strong support. We regularly hold events to connect you with potential employers.
Placements are competitive but highly rewarding, helping you develop communication skills and build an impressive CV or portfolio. As the work placement is an assessed part of the course, it is covered by a student's Student Route visa.
Course content
Modules and Professional placement
Core modules
15 credits
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.
15 credits
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.
30 credits
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 optimisation 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.
15 credits
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.
60 credits
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.
30 credits
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.
Optional modules
15 credits
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.
15 credits
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.
Professional placement
120 credits
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.
Career opportunities
The demand for skilled professionals in a wide range of industries is only set to increase, making this course an excellent choice for students who are interested in pursuing a career in robotics and autonomous systems.
Once you’ve graduated you'll be prepared to work in a range of industries embracing automation and robotics. Common fields that our graduates explore include manufacturing, healthcare, logistics, and transportation. Additionally, you’ll have the skills to contribute to innovative research in the field of robotics.
Teaching and assessment
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.
Fees and funding
| Fee category | Annual Fee |
|---|---|
| Home (UK students) | |
| Full Time | £11,900 |
| Part Time | £6,545 |
| International | |
| Full Time | £18,300 |
| Part Time | £10,065 |
| Fee category | Annual Fee |
|---|---|
| Home (UK students) | |
| Full Time | £11,400 |
| Part Time | £6,270 |
| International | |
| Full Time | £17,600 |
| Part Time | £9,680 |
Fees for future course years
Part time
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.
Funding support for postgraduate students
If you are a UK student living in England and under 60, you can apply for a loan to study for a postgraduate degree. Find out more through the government's website.
Scholarships and bursaries
Interested in studying Robotics MSc at Kingston? The following funding support is available:
The Inspire the Future Scholarship offers a 40% reduction in fees for taught masters or postgraduate diploma courses with September start dates. 20 scholarships are available for progressing Kingston University graduates.
For more information on how to apply for this scholarship, visit the Inspire the Future Scholarship page.
International postgraduate students could receive up to £5,000 towards tuition in their first year of study.
For more information on how to apply for these scholarships, visit the International Scholarship page.
If you are a Kingston University undergraduate student progressing to a postgraduate degree (taught or research), you could get a 15% reduction in tuition fees.
For more information on how to apply for this scholarship, visit the Postgraduate Progression Scholarship page.
Kingston University offers a 10% discount on full and part-time postgraduate degree course tuition fees to our alumni.
For more information on how to apply for this discount, visit our alumni discount page.
Additional course costs
Some courses may require additional costs beyond tuition fees. When planning your studies, you’ll want to consider tuition fees, living costs, and any extra costs that might relate to your area of study.
Your tuition fees include costs for teaching, assessment and university facilities. So your access to libraries, shared IT resources and various student support services are all covered. Accommodation and general living expenses are not covered by these fees.
Where applicable, additional expenses for your course may include:
Our libraries have an extensive collection of books and journals, as well as open-access computers and laptops available to rent. However, you may want to buy your own computer or personal copies of key textbooks. Textbooks may range from £50 to £250 per year. And a personal computer can range from £100 to £3,000 depending on your course requirements.
While most coursework is submitted online, some modules may require printed copies. You may want to allocate up to £100 per year for hard-copies of your coursework. It’s worth noting that 3D printing is never compulsory. So if you choose to use our 3D printers, you’ll need to pay for the material. This ranges from 3p per gram to 40p per gram.
Kingston University will pay for all compulsory field trips. Fees for optional trips can range from £30 to £350 per trip.
Your tuition fees don’t cover travel costs. To save on travel costs, you can use our intersite bus service. This route links the campuses and halls of residence with local train stations: Surbiton, Kingston upon Thames, and Norbiton.
If you choose to do a placement year, travel costs will vary depending on your location. These costs could be up to £2,000.
How to apply
Before you apply
Please read the entry criteria carefully to make sure you meet all requirements before applying.
How to apply online
Use the course selector drop-down at the top of this page to choose your preferred course, start date and mode, then click 'Apply now'. You will be taken to our Online Student Information System (OSIS) where you will complete your application.
If you’re starting a new application, you’ll need to select ‘new user’ and set up a username and password. This will allow you to save and return to your application.
Application deadlines
We encourage you to apply as soon as possible. Applications will close when the course is full.
Information required to confirm your place
If English is not your first language, we will require proof of your proficiency to allow us to confirm your place on the course. This will generally be either an IELTS or TOEFL test certificate, which can be forwarded to us after you have submitted your application. If you do not hold a formal English language qualification, please indicate how you have acquired your proficiency in written and spoken English.
After you have applied
For courses that select on application alone, applicants should normally receive an initial decision or a request for more information within four to six weeks of receipt of their application. Our admissions team will notify you of the decision by email.
Learn more about the postgraduate application process in detail.
Course changes and regulations
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. Find out more about course changes
Programme Specifications for the course are published ahead of each academic year.
Regulations governing this course can be found on our website.
