Taught course (will run subject to approval)

Industrial Internet of Things

University of Gloucestershire · School of Business and Technology

Entry requirements

  • BSc or BEng (min Honours 2:2) in general engineering, Electrical, Electronics, Mechanics or computing.
  • We welcome applications from mature students (with several years of working experiences in the related industry) and do not necessarily require the same academic qualifications as school leaving applicants.
  • International Students: Please see the full details of entry requirements in your country.

Months of entry


Course content

This course will prepare you to be creative and innovative in addressing challenges from the implementation of the Internet of Things, Industry 4.0 and Industry 5.0.

The modules you will study include Smart Sensors, Competitive and Reliability Engineering and Applied Artificial Intelligence. You will also complete creative and innovative design projects and an advanced research project. The course has been designed to create effective multi-disciplinary engineers who have acquired the necessary creative, technical and research skills to work within the broad spectrum of modern industry.

The course will develop your understanding of key aspects of the industrial internet of things, and explore how they fit into the context of the full range of industrial sectors and rapidly developing everyday applications. This course will also provide you with the opportunity to address the challenges, problems and solutions involved in the industrial internet of things in modern industry.

You will have the chance to work as both an individual and as part of a team on projects and topics including artificial intelligence, smart industrial robots, sensing and embedded systems, smart mechanical systems and products, intelligent industrial inspection, biomedical application and surgical robotics.

This course has been designed for students interested in developing their careers in both theoretical and practical areas of the industrial internet of things. It also prepares students wishing to continue their study to doctorial level research.

Students successfully completing this course will be able to make an immediate contribution to a company’s performance and operations within the broad spectrum of modern industry.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

03330 141414