Robotics and Internet of Things - MSc

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Why study this course?

Our Robotics and Internet of Things MSc is ideal if you want to pursue postgraduate studies and develop a career in robotics, the Internet of things (IoT), artificial intelligence or machine learning. The course offers a thorough coverage of the key hardware and software components that underpin the design and implementation of modern engineering systems.

This master’s degree programme is designed to enhance your career prospects through a module structure that balances theory and practice. It is suitable if you are a recent graduate from a connected discipline, as well as if you are an experienced professional from a background such as electronics, mechatronics, computer science and computer networking.

More about this course

This master’s degree in robotics and Internet of things will expose you to cutting-edge knowledge and case studies through teaching content and your own projects. This is supported by world-leading research from our Centre for Communications Technology and our Cyber Security Research Centre. The tutorials, workshops and practical sessions you’ll undertake in our IT studios and specialised laboratories will enable you to work with professional software tools, development kits and engineering equipment.

Joining this master’s course at London Met will give you access to our range of online facilities to support your independent learning. This includes our virtual learning environment, which provides learning materials and collaborative learning tools 24/7, anywhere in the world. You will also benefit from free student membership for the Institute of Engineering and Technology (IET). The course is tailored to the IET’s guidelines for future accreditation and is expected to fulfil the academic requirements for you to become a Chartered Engineer after gaining appropriate professional experience. Guest speakers from the industry and practitioners from a range of disciplines are invited to share their knowledge and experience, often through student societies and University events.

The assessments within your taught modules will promote your theoretical understanding and application of the hardware and software components that are required to design and develop algorithms, systems and solutions related to robotics and the Internet of things.

Your final MSc project will be a dissertation. It will be your chance to delve deeper into an area of specific interest, seeking to assess your theoretical knowledge, analytical and technological skills, project planning and reflection, engineering practice, critical appraisal and analysis and decision-making potential.

Robotics and the Internet of things (IoT), as part of intelligent and connected systems, are increasingly gaining prominence in diverse sectors and applications such as manufacturing, health, remote exploration of hostile environments, smart homes and cities, environmental monitoring, healthcare and disaster relief. This master's course offers you a unique opportunity to develop your knowledge of electromechanical systems, intelligent algorithms and computer networking technologies with information security.

The scope for social and physical interaction between such sophisticated systems and people means that this field is likely to have a far-reaching impact in the coming decades. As a result, the industry is experiencing a huge demand for robotics and IoT specialists. On graduation from our Robotics and Internet of Things MSc you are likely to find yourself with a wider pool of opportunities and a higher starting salary than average across other comparable professions.

With robots no longer restricted to industrial applications and increasingly being used in healthcare, entertainment and domestic applications, robotics is becoming an ever more important part of the manufacturing sector, allowing new products to be developed and produced cost effectively. As a result, there is an increasing demand for graduates with knowledge of this technology, and this high-tech engineering sector is developing rapidly and moving in new and exciting directions. The UK government has hailed robotics as “one of the UK's eight great technologies”.


You will be assessed via a range of methods throughout the course, including individual and group coursework, essays, formal written examinations / class tests and your individual project and viva.

Fees and key information

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Entry requirements

You will be required to have:

  • a minimum of a lower second-class (2.2) honours degree (or equivalent) in electrical and electronic engineering, robotics, mechatronics, computer science or systems engineering, computing, computer networking, physics or a closely related discipline

Graduates from other disciplines who have extensive relevant work experience will be considered on an individual basis.

Programming skills with at least one of the popular languages (eg Java, Python, C/C++) and computational tools such as Matlab/Maple as well as some familiarity with electronic devices would also be highly desirable.

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

Modular structure

The modules listed below are for the academic year 2020-21 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

  • Transducers, Interfacing and Control, Core (20 credits)
  • Machine Vision, Core (20 credits)
  • Internet of Things and Cyber Security, Core (20 credits)
  • Operations and Technology Management, Core (20 credits)
  • Artificial Intelligence, Core (20 credits)
  • Machine Learning, Core (20 credits)


  • MSc Project, Core (60 credits)


  • Postgraduate Dissertation, Core (60 credits)

After the course

The high demand for robotics and Internet of things specialists in business and industry will provide opportunities for wider employability, a broader career path and higher starting salaries.

Careers in robotics include:

  • Robotics control system engineer
  • Electronics engineer (robotics)
  • Robotic stems electronics engineer
  • Software engineer/developer – robotics
  • Electro-mechanical robotics engineer
  • Robotics control system engineer
  • Robotics/computer vision engineer
  • Engineer in robotics, control and automation engineer – robotics
  • Graduate robotics engineer
  • Computer vision engineer in robotics
  • Robotic systems engineer
  • Embedded software engineer – robotics, etc.

Careers in computer systems engineering include:

  • Computer/IT systems and support engineer
  • Systems engineering
  • IT system support engineer
  • Software support engineer
  • Application support consultant
  • System support engineer
  • Graduate system support engineer

Careers in IoT include:

  • Lead application engineer
  • IoT consultant
  • Embedded software engineer
  • Electronics engineer
  • IoT sales manager
  • IoT senior developper
  • IoT engineer
  • Wireless/IoT technical sales manager
  • IoT architect
  • IoT network architect

How to apply

Use the apply button to begin your application.

Non-EU applicants looking to study part-time should apply direct to the University. If you require a Tier 4 visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process.

When to apply

You are advised to apply as early as possible as applications will only be considered if there are places available on the course.

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