Automation and Control Engineering MSc
Subject and course type
- Engineering, electronics and robotics
- Postgraduate
Discover the future of smart systems. At Kingston University, our Automation and Control Engineering MSc prepares you to innovate in robotics, AI, and advanced engineering. Accredited by the Institution of Mechanical Engineers, and the Engineering Council, this degree will position you for success.
Please note: this course was previously named Mechatronic Systems MSc. The delivery and content of the course remain the same.
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Shape the future of intelligent engineering systems
Develop the skills to design, control and deploy the next generation of automated and robotic systems.
This MSc in Automation and Control Engineering focuses on the technologies driving modern industry, including robotics, intelligent automation, control systems, and machine learning. You will learn how to model complex engineering systems, design advanced control strategies, and implement autonomous solutions across real-world applications such as manufacturing, healthcare, and smart mobility.
Delivered by research-active academics, the course combines strong theoretical foundations with hands-on experience in a state-of-the-art robotics laboratory, enabling you to translate ideas into working systems.
Whether your goal is to work in robotics, automation, or advanced engineering design, this course will prepare you to contribute to a rapidly evolving technological landscape.
Why choose this course
On our Automation and Control Engineering MSc course, you will work with state-of-the-art robotic and haptic systems, gaining hands-on experience with industry-relevant platforms. These include Franka Emika Research 3 collaborative manipulators and FANUC industrial robots, alongside advanced legged and humanoid platforms such as the Unitree G1 and H1 humanoids and Unitree quadrupedal robots (B1 and Go2). You will also have access to Geomagic Touch haptic interfaces, enabling interaction with robotic systems through force feedback and supporting applications in teleoperation and human–robot interaction. Based at our Roehampton Vale campus, these facilities provide a modern, robotics-focused environment where you can develop practical skills in automation, control, and intelligent systems.
In our Robotics modules we use industry-leading software to provide a realistic, hands-on experience. We employ RoboDK for intuitive robot simulation and offline programming, with its extensive robot library and robust post-processing, students can visualise and refine robot paths. CoppeliaSim offers a flexible 3D simulation platform that supports multiple physics engines and a powerful API for modelling complex robotic scenarios. Furthermore, students will be resorting to Matlab/Simulink for robotics, control, and machine learning—supporting detailed system modelling, real-time simulation, algorithm development, and automatic code generation. Together, these tools ensure our students gain the practical skills needed to excel in robotic control and advanced automation.
Our applied approach to teaching is supported by dedicated laboratories for mechanical, automotive and motorsport engineering, including wind tunnels, state-of-the-art rapid prototyping and manufacturing machinery, and a fully-equipped materials lab. Experiment with engine test cells, an automotive diagnostics lab, and a modern electronics/robotics lab.
Expert academic support from faculty members with strong industry links ensures a comprehensive learning experience. Academic staff within the Department of Mechanical Engineering continue to practise and research at the cutting-edge of their discipline. While our London location places you at the heart of one of the world’s leading engineering and technology hubs. This course is designed to keep you at the forefront of technological innovation, equipping you with the skills and knowledge to take on leadership roles in advanced engineering sectors.
You can also achieve an MSc accredited by the Engineering Council and the Institution of Mechanical Engineers. In doing so, you’ll also meet, in part, the requirements for registration as a Chartered Engineer.
Facilities for Automation and Control Engineering
On this course, you will benefit from access to a brand-new Robotics Laboratory, equipped with state-of-the-art robotic platforms and experimental systems to support both teaching and research activities.
The laboratory includes a wide range of advanced robotic systems, such as:
- Franka Emika Research 3 collaborative manipulators
- FANUC ER-4iA industrial robotic arms
- Unitree G1 and H1 humanoid robots
- Unitree B1 quadrupedal robot
- Unitree Go2 platforms (wheeled and quadrupedal configurations)
These facilities will enable you to gain direct experience with industrial manipulators, legged locomotion, humanoid robotics, and autonomous systems, bridging the gap between theory and real-world applications.
You will use these platforms in laboratory sessions, coursework, and MSc projects, developing skills in robot programming, control implementation, perception, and AI-based decision making.
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Robotic arm
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Robot descending stairs
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Robots at Roehampton Vale campus
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Students inspecting a humanoid robot
The MSc will meet, in part, the 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.
It should be noted that graduates from an accredited MSc programme, who do not also have an appropriately-accredited honours degree, will not be regarded as having the exemplifying qualifications for professional registration as a chartered engineer with the Engineering Council; and will need to have their first qualification individually assessed through the individual case procedure if they wish to progress to CEng.
Find out more about Further Learning and discover all accredited degrees by visiting the Institution of Mechanical Engineers website.
Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
Check the Engineering Council website for more information.
Course content
Modern automation and control engineering extends far beyond traditional robotics, encompassing a wide range of applications where intelligent decision-making and feedback control are essential. These include automated manufacturing systems, autonomous vehicles, smart sensing platforms, and advanced healthcare technologies such as assistive and rehabilitation devices.
A strong hands-on approach is central to the course. You will work in our state-of-the-art robotics laboratory, using advanced platforms such as industrial and collaborative manipulators, humanoid and quadrupedal robots, and haptic interfaces. This practical experience, combined with the use of industry-standard software and control tools, enables you to develop and validate real-world solutions in automation, robotics, and intelligent systems.
The course aligns with research activities of the teaching staff, implementing the latest advances in our research. Using applied research, you will 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.
To go on placement you will be required to pass every module first time with no reassessments. It is your responsibility to find a suitable paid placement. You will be supported by our dedicated placement team in securing this opportunity.
Please note: Optional modules only run if there is enough demand. If we have an insufficient number of students interested in an optional module, that module will not be offered for this course.
Project work
Students on this course undertake innovative MSc projects across robotics, automation, and intelligent systems. Recent examples include quadrupedal robot learning using reinforcement learning, human-robot collaboration in industrial tasks, autonomous navigation for vehicles, and robotic systems for surgical guidance. These projects combine advanced theory with hands-on implementation, preparing graduates for real-world engineering challenges.
Examples of recent projects include:
- Human-robot collaboration in lifting tasks
- Gait optimisation using reinforcement learning for quadrupedal robots
- Autonomous navigation for formula student AI
- Haptic virtual fixtures for surgical guidance with a robotic manipulator
- Model predictive control for flexible robotic arms
- AI-driven robot trajectory planning using vision-language models.
Modules
Core modules
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.
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 introduces you to fundamental concepts and methods in autonomous systems and discusses their applications in smart mechatronic systems. You are exposed to applications related to autonomous systems. Furthermore, the module provides mathematical tools to analyse the dynamic behaviour of mobile autonomous systems, e.g. a UAV. The module is taught in a project-based practical fashion and therefore some knowledge of a programming language is required.
15 credits
This module introduces you to classical control system analysis and design concepts. 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. In addition to the fundamental concepts, the focus of this module is analytical and numerical problem solving, providing you with a set of skills that will enhance your employability. The module promotes creative problem-solving through an emphasis on analytical and numerical problem solving related to control systems. Digital competency is fostered by the use of simulation tools such as MATLAB & SIMULINK. Adaptability is nurtured as you navigate between time and frequency domain design methods and different types of control systems.
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.
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.
Optional modules
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.
15 credits
This module explores the synergy between robotics and bio-inspired design, deriving design principles from living systems to enhance understanding in key areas such as mechatronic systems and sensor/actuator technologies. You will engage in a comprehensive learning journey encompassing lectures, tutorials and hands-on lab exercises. These formats will facilitate a deep understanding of the adaptability and autonomy present in animal life, and how these principles can be applied to robotics.
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
Graduates of the Automation and Control Engineering MSc are highly sought after in industries such as robotics, automotive engineering, aerospace, and industrial automation. Typical roles include Robotics Engineer, Systems Designer, and Automation Specialist.
The Department has strong links with industry leaders, including Delphi, Lotus Engineering, MAN and Thales. Many of our innovative, hands-on projects involve students as well as academics and receive national and global coverage.
You will take part in trips to the National Instruments' NIDays conference in London. With an individual project, you may research a subject of interest with the opportunity to publish your work.
Teaching and assessment
When not attending timetabled sessions, you will be expected to continue learning independently through self-study. Typically this will involve reading journal articles and books, working on individual and group projects, 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.
A course is made up of modules, and each module is worth a number of credits. You must pass a given number of credits in order to achieve the award you registered on, for example 360 credits for a typical undergraduate course or 180 credits for a typical postgraduate course. The number of credits you need for your award is detailed in the programme specification which you can access from the link at the bottom of this page.
One credit equates to 10 hours of study. Therefore 180 credits across a year (typical for a postgraduate course) would equate to 1,800 notional hours. These hours are split into scheduled and guided. On this course, the percentage of that time that will be scheduled learning and teaching activities is shown below. The remainder is made up of guided independent study.
- 17% scheduled learning and teaching
The exact balance between scheduled learning and teaching and guided independent study will be informed by the modules you take.
Your course will primarily be delivered in person. It may include delivery of some activities online, either in real time or recorded.
Type of assessment
- Year 1: Coursework 88%, Exams 12%
Please note: the above breakdowns are a guide calculated on core modules only. If your course includes optional modules, this breakdown may change to reflect the modules chosen.
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.
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.
Courses involving placements or direct work with vulnerable groups may require a DBS check or other security checks.
Specific courses may require uniforms, specialty clothing, or specific equipment like lab coats and safety shoes.
If you choose to do a placement year, travel costs will vary depending on your location. These costs could be up to £2,000.
Some courses may require professional memberships.
Kingston University will supply you with a lab coat and safety goggles at the start of the year. A £10 voucher will be supplied to help cover the cost of the safety boots when purchasing with our supplier Activity Work Wear. Safety boots can range in cost between £25 and £100.
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
For students interested in studying Automation and Control Engineering MSc at Kingston, there are several opportunities to seek funding support:
This scholarship offers a 40% reduction in fees across a range of taught postgraduate courses. Learn more about eligibility criteria for Inspire the Future applicants.
If you are an international student, find out more about scholarships and bursaries.
We offer discounts for Kingston University alumni.
There are also Progression Scholarships available for certain postgraduate courses. Review our range of funding opportunities for masters-level study.
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.
