Royal Holloway, University of London MSc Degrees in Computer Science

Computer Science is a broad and ever-expanding discipline, providing ample scope for students seeking to carry out original scientific research. Read more

MSc Applied Data Science is a new masters designed for those wanting to learn the skills required to gain insights from data. Read more

This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Read more

This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Read more

This exciting software industry focused masters degree opens digital sector job opportunities up to students with non-technical backgrounds. If you are a finalist or recent graduate in any subject wanting to boost your employability, this innovative course will develop your knowledge and skills to provide a pathway to success in the digital era. Read more

The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Read more

The importance of Big Data grows year on year, with sectors including healthcare, manufacturing, retail, administration and others reliant on the insights that accurate data capture and analysis can provide. Read more

Machine learning has already revolutionised the user experience of millions of web users the world over, and yet the discipline is still comparatively young. Read more

Machine learning has already revolutionised the user experience of millions of web users the world over, and yet the discipline is still comparatively young. Read more

Equipped with Artificial Intelligence techniques, today’s systems can teach themselves to perform tasks almost as well as humans can. Read more