Find a course
What's it like living here?
Book an Open Day
Entry requirements for your country
Choose your country
Contact us about any aspect of research
Contact research services
Contact us about any aspect of our business services
Contact Employer Partnerships
Hit enter to search or ESC to close
Gain invaluable knowledge in a growing industry
You’ll be work-ready on completion of the course
Including Engineering laboratories and the Digital Shed
Studying Robotics and Smart Technologies enables you to experience an expert knowledge of the multi-discipline areas of robotics, autonomous vehicles, artificial intelligence, smart cities and ‘internet of things’ for network-enabled products.
This course offers a full spectrum of learning and current research with our experienced staff. Face-to-face teaching and use of our specialised laboratories will ensure you have the latest knowledge in this dynamic field.
You’ll get a practical understanding of the use of robotics both inside and outside of the industry, as well as embedded systems, the use of network-enabled devices in the home, autonomous vehicles (both automotive and aeronautical), and the use of artificial intelligence.
With this Masters course, you’ll undertake a major project where you can specialise in an area of interest to support your work goals. The course has been designed with employability in mind to ensure graduates meet the demands of a growing sector.
On successful completion of study, we will issue the following award: MSc Robotics and Smart Technologies
This course is offered on a part-time basis over three years. You’ll take two modules each semester in Year 1 and 2 and complete the project in Year 3.
You’ll undertake eight modules and an MSc project. All modules are designed for the practical application, so you’ll be work-ready on completion of the course.
Modules cover a range of important topics such as the use of embedded systems, artificial intelligence and advanced robotic systems. You’ll also work on 'internet of things' devices, as well as autonomous vehicles and their applications.
Join the exciting world of automation, robotics and smart technologies and be a pioneer in the future of smart homes, smart transportation and more.
The tables provide an indicative list of the modules that make up the course for the current academic year. Each module is worth a specified number of credits. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. We aim to ensure that all modules run as scheduled. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module.
Module code: ELEC71120
Module code: MECH71020
Module code: ELEC71020
Module code: ENGG71020
Module code: ENGG71000
Module code: TRAN71010
Module code: ELEC71090
Module code: ENGG71010
Module code: ELEC71100
Normal requirements are at least 2:2 honours degree or equivalent in a related engineering discipline, such as Electronic Engineering, Electrical and Electronic Engineering, or Mechatronics, for example.
If your first language is not English, a minimum score of IELTS 6 or TOEFL 550 (213 computer-based) is normally required.
Our £1.3m Smart Zone gives students access to the latest 3D printing, VR technology and more.
For equivalent entry requirements in your home country, please see the information on our country pages.
Check our entry and English language requirements for your country.
A bustling centre of invention, innovation and creation. The Smart Zone houses dedicated workshop space, the latest in digital technology, and high-end computing facilities.
Packed with state-of-the-art software and hardware resources reflecting current trends in the development of engineering & technology subjects.
Our Real Time Lab has a suite of 20, 6 axis programmable robotic arms, autonomous vehicles, micro-controllers, motors, sensors and state-of-the-art design suites for embedded software programming and electronic design.
Find out more about the Smart Zone.
After completing the Robotics and Smart Technologies MSc, you’ll be equipped to work in the following roles:
Eager for more knowledge? Upon completion, you’ll be ideally placed for further academic study at PhD level.
We know that everyone learns differently. So not only do we use traditional ways of teaching like lectures and tutorials, we also use problem-based learning to help you apply your skills.
For this course, you'll:
Our teaching is supported through our Virtual Learning Environment called Blackboard. This means you can access a range of materials to support your lectures wherever you are.
We’ll also assign you a supervisor to support you throughout your research project.
There are two types of assessments: practice (also called formative) or formal (also called summative).
Practice assessments do not count towards your final mark. These are your chance to test your understanding – and learn how to improve for the real thing.
You’ll have formal assessments at the end of each module. These could include essays, exams, or portfolios.
Your course tutors will provide lots of support. But you can also take advantage of our Academic Skills team, who can help you with:
If you have additional needs like dyslexia or a sensory impairment, then our Student Inclusion Services are here to help make sure nothing stands in your way.
We know that it’s important for you to be able to gauge your progress. So, your tutor will give you feedback on any practice assessments you do. We usually give you feedback on formal assessments within 20 working days, but the format will vary for each module.
The content of the Robotics and Smart Technologies MSc draws on a range of research specialisms within Engineering at Staffordshire University, allowing students to benefit from working alongside leading academics. This allows the content to maintain its currency by supporting staff to integrate their research into their teaching practice. MSc students have the opportunity to develop MSc projects supported by the research specialism of the staff team, allowing them to actively participate in the research culture with Engineering.
Alison's expertise includes smart grids and their protection and renewable integration, smart homes, wireless sensor network design, implementation & optimisation.
Dave's expertise focuses on Control engineering, signal processing, electrical circuit analysis, analogue electronics, hardware-based digital electronics, radar. His research interests focus on Social Implications of Technology, Technology & Society
Anas's expertise is in smart technologies, wireless sensor networks, digital signal and image processing, mathematical modelling and simulation of engineering systems.
Abdel-Hamid's expertise includes automation, including Smart Cities, Building automation, Energy management, Security, Safety and health applications.
Debi has a keen interest in Automotive and Aeronautical Aerodynamics, Engine Design and Engineering History (Automotive and Aeronautical).
For the course starting on 27 September 2021 the tuition fees are:
If you would like to know more about the fees listed and what this means to you then please get in touch with our Enquiries Team.
If you've previously completed a Staffordshire University undergraduate degree (excluding HND and foundation degrees) you may be entitled to a discount of up to 25% off your course fees for any subsequent postgraduate taught course (terms apply, see the alumni discount page for details). If you have any questions about how this relates to you, please contact firstname.lastname@example.org.
The expected study pattern on this programme enables you to complete modules totalling 90 credits in your first year of study and the other 90 credits, in your second year of study. Following this pattern of study you will pay the same fee for each year of study.
If you have previously completed an undergraduate degree with us, you may be entitled to a discount off your course fee for any subsequent postgraduate taught course. For further information please contact Graduate Relations.
Travel, and accommodation costs incurred by compulsory trips and visits away from the University that are directly linked to the learning requirements of a specific module.
The use of all laboratories, workshops and specialist facilities relating to the course of study.
Heavily discounted tuition fees during the (optional) placement year.
The estimated cost of text books over the duration of the course. All essential text books are available from the library, but some students chose to purchase their own copies.
Travel, subsistence, entrance fees etc. incurred by optional trips and visits away from the University related to the course.
Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project.
Accommodation and living costs are not included in our fees.
For more information on accommodation and living costs, please see: Accommodation
Providing you are studying towards a full Masters qualification you may be able to apply for a postgraduate loan of up to £11,222 to help with tuition fees, maintenance and other associated costs. Student loans are available for many of our postgraduate degrees and are provided by the Student Loans Company (SLC). The loan can cover a wide range of postgraduate study options; part-time, full-time and distance learning.
For more information and how to apply visit masters loan.
If you are offered a place at Staffordshire University, your offer will be subject to our rules, regulations and enrolment conditions, which may vary from time to time.
Students of Staffordshire University enter into a contract with us and are bound by these rules and regulations, which are subject to change. For more information, please see: University Policies and Regulations.
Times Higher Education Young University Rankings 2020
Teaching Excellence Framework (TEF)
Times Higher Awards 2020
The Times and The Sunday Times Good University Guide 2021
Midlands Business Awards 2020
Browser does not support script.