The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the new generation of systems of networked devices that are becoming capable of sensing, transmitting and acting on data: smart homes, smart cities, smart industries, and so on.
A series of reports, among which are several published by Gartner, place the IOT as a new and transformative technology domain that will require millions of developers worldwide by 2020.
The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:
- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.
- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.
- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.
Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing. We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO. We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).
The programme is offered with or without a paid industrial placement (internship).
The programme can be taken part-time and must be completed within five years, but without a placement. It can also be taken part-time on a day-release mode, i.e. lectures are delivered on a single day of the week in each term, but for a fixed choice of non-core modules.
Opportunities for on-campus part-time work are available.