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Robotics and Smart Technologies


Become a specialist

Gain invaluable knowledge in a growing industry

Real life applications

You’ll be work-ready on completion of the course

Excellent facilities

Including Engineering laboratories and the Digital Shed

Stoke-on-Trent campus
Study option:
13 Months
Start date:
16 September 2019
Come to an Open Event Enquire about this course Apply now

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

Part-time study

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.

Course content

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.


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.

Standard route

Year 1 compulsory modules
Artificial Intelligence And Machine Learning 15 credits
Autonomous Vehicles 15 credits
Engineering Design And Manufacture 15 credits
Internet Of Things Devices 15 credits
Msc Project 60 credits
Real-Time Embedded Systems And Control 15 credits
Research Methods And Project Management 15 credits
The Professional Engineer (Masters) 15 credits

Normal requirements are at least 2:1 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.



After completing the Robotics and Smart Technologies MSc, you’ll be equipped to work in the following roles:

  • Research and development
  • Engineering consultancy
  • Project management
  • Teaching

Eager for more knowledge? Upon completion, you’ll be ideally placed for further academic study at PhD level.

Teaching and assessment


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:

  • Work with others on group work
  • Work in specialist laboratories
  • Be expected to study independently

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.

Learning support

Your course tutors will provide lots of support. But you can also take advantage of our Academic Skills team, who can help you with:

  • Study skills (including reading, note-taking, presentation skills)
  • Written English (including punctuation, grammar)
  • Academic writing (including how to reference)
  • Research skills
  • Critical thinking
  • Revision, assessment and exam skills (including time management)

Additional support

If you have additional needs like dyslexia or a sensory impairment, then our AccessAbility 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.

David Dyke
David DykeCourse Leader

David'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 and Society.

For the course starting on 16 September 2019 the tuition fees are:

Study option
Full time
UK / EU / Channel Islands
£8,820 per course
International (Non-EU)
£12,750 per course

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.

Alumni discount

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.


Stoke-on-Trent campus
16 September 2019

Rules and regulations

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.

24/08/2019 17:22:59 / Robotics and Smart Technologies / Full-time / 7.0 / 25.0 / SSTK-12511 / Direct link