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Advanced Computer Science (MSc)

Course Description

If you enjoy computing and programming you will find this course exciting and rewarding.

It is intended for students who have already studied Computer Science, Computer Engineering or a closely related subject as their first degree and who aim at taking a leading role in the digital transformation of our society and culture. Data Science and Big Data are the next frontier for innovation, competition and productivity. The course will provide you with advanced computing and deep analytical skills to make discoveries in the world of Big Data. Practical activities in our research labs will support and reinforce the study of theoretical aspects.

This course is also available on a flexible modular basis up to five years.

Modules include:

• Data Analytics and Mining
• Big Data Analytics
• Cloud Computing
• GPU Computing

What career can you have?

Career prospects for the students of this course tend be strong as the knowledge and skills acquired are very relevant to the current and future IT industry and digital society. Computing is now the Science underpinning most industrial and academic areas with the advent of data-intensive discovery as the fourth scientific paradigm. Moreover, digital information has penetrated into almost every aspect of today's society. The graduates are expected to be employed in a large variety of sectors. Some graduates will join large multinational companies; others join smaller companies and consultancies; and some may well choose to further their research interests either in the School of Systems Engineering or at other Universities. Reading is in the Royal County of Berkshire and lies at the centre of the Thames Valley on the M4 corridor, a major high-technology hub often referred to as the 'Silicon Valley of Europe'.


Choose from an innovative and varied range of Master’s courses across the fields of Computer Science, Cybernetics, Electronic Engineering and Neuroscience.

Excellent facilities across the School include approximately 200 workstations, a virtual infrastructure and a CONDOR pool (Campus Grid). Additional facilities include a Power Wall and a walk-in virtual reality system (CAVE), both part of the School’s Visualisation and Interactive Technology Centre (VIT-C). We also have a Brain Embodiments Laboratory, a facility that enables research at the interface of engineering and neuroscience and cognition including culturing of biological neurons and brain computer interfaces.

Reading is at the heart of the Thames Valley IT industry, which is known as the UK's Silicon Valley. Our ideal location provides many links with local industry and global companies. As a result of this, we have a particularly lively programme of both pure and applied research in a diverse range of topics, as well as excellent placement and graduate job opportunities. Most research is industry focused and a lot is industry supported.

The majority of our modules across all the MScs are taught in week-long blocks, making them suitable for taking on an ad-hoc basis as part of an individual’s CPD.

Visit the Advanced Computer Science (MSc) page on the University of Reading website for more details!

Entry Requirements

2.1 Honours BSc degree or overseas equivalent (60 per cent) in Computing or in a related discipline, or relevant working experience.

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