倫敦大學(xué)皇家霍洛威學(xué)院

The course

The digital revolution is changing our world in deep and lasting ways. The Internet of Things - networked devices that are capable of sensing, transmitting and acting on data to improve our quality of life - is an area of development that is widely expected to require the services of millions of new developers over the coming years. Study the Internet of Things at Royal Holloway, University of London and you’ll acquire the skills and experience you need to become a part of an exciting, fast-expanding area of computer science with excellent graduate employability prospects.

This programme is designed to help you break into a rapidly expanding area of computer science, provideing you with advanced knowledge and skills in data analytics techniques, technical and methodological aspects of distributed and networked systems, and aspects of cybersecurity such as privacy and safety.

Skills that you will acquire include the ability to:

• design and implement middleware services for reliable communication in unreliable networks, and storage solutions for wireless, sensor, and ad hoc-networks
• detect sources of vulnerability in networks of connected devices and deploy
• the appropriate countermeasures to information security threats
• enforce privacy in “smart” environments
• work with open source and cloud tools for scalable data storage (DynamoDB) and coordination (Zookeeper)
• design end-to-end IoT solutions involving interconnected edge devices and clouds
• work with modern network management technologies (Software-Defined Networking) and standards (OpenFlow)
• work with low-power wireless and mesh networking standards and technologies such as IEEE 802.15.4, ZigBee and XBee
• work with state-of-the-art microcontroller devices and kits, such as Arduino and Tessel, and miniature computing technologies, such as RaspberryPi
• work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks

Teaching & assessment

Teaching is organised in terms of 11 weeks each. Examinations are taken in April/May of each academic year, except for Data Analysis for which the exam is in January. Your placement (internship) starts typically at the end of June or beginning of July and lasts for a maximum of one year. The individual project is taken over 12 weeks during the Summer after the placement.

A weekly seminar series runs in parallel with the academic programme, which includes talks by professionals in a variety of application areas as well as workshops that will train you to find a placement or a job and lead a successful career.

Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules. The placement is assessed as part of your degree, accounting for 10% of the individual project.

Your future career

Recent alumni have gone on to enjoy rewarding careers in areas such as financial analytics and Big Data, while others have gone on to do a PhD. We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs.

• Strong industry ties help to provide placement and networking opportunities with some of the country’s leading institutions.
• Together with our on-site Careers and Employability Service, we run one-to-one coaching sessions and workshops, helping you to find a placement or job and lead a successful career.