Internet of Things (MSc)

Develop the theoretical knowledge and practical skills to design and engineer the next generation of connected devices and systems on this Internet of Things master’s course. You’ll learn about key hardware and software components, and the tools and methods to protect and optimise them. The course combines elements of computer science and electronics, and is ideal if you’ve graduated from either discipline.

On this Internet of Things MSc you’ll gain knowledge and practical skills in:

• the main elements of Internet of Things (IoT) systems and how to design and build them
• embedded programming and IoT hardware components such as microprocessors, microsensors and energy harvesters
• how data moves between devices, apps and the cloud
• IoT system vulnerabilities and how to secure IoT devices and their networks against malicious attack

You’ll also have the flexibility to explore specialist IoT topics through your choice of optional modules. Typical subjects include:

• managing and analysing the data produced by IoT systems
• the architecture of embedded processors, and how to design and build them
• the design and optimisation of wireless communications systems using machine learning techniques
• the applications of modern cryptography
• signal processing and computer vision

You'll learn from researchers who are advancing IoT technologies for applications as varied as smart homes and cities, environmental monitoring, healthcare and disaster relief.

Our Electronics and Computer Science department is also home to the Centre for Internet of Things and Pervasive Systems research group. Much of the course content is informed by their work, so you’ll benefit from the latest knowledge in this field.

Course lead

Your course leader is Dr Basel Halak. He is the author of 2 books and more than 60 conference and journal papers. His research interests include hardware security and reliability and fault tolerance techniques. Read Dr Halak’s staff profile to find out more about his work.

You’ll need a 2:1 degree in electronics, computer science or related subject, such as computer engineering, telecommunications or engineering

You must have an upper 2:1 score in the following:

• 1 advanced maths module, such as: advanced mathematics, applied mathematics, mathematical analysis, engineering mathematics, mathematics for electrical and electronic engineers or pure mathematics
• 1 programming module (C, C++, Python, Java)

Find the equivalent international qualifications for your country.

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