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MSc Data Science and Advanced Computing
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Year of entry
2025/26 -
Course duration
Full Time: 12 months Part Time: 24 months
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Year of entry
2025/26 -
Course duration
Full Time: 12 months Part Time: 24 months
Join the next generation of data scientists and meet the challenges of the Information Age with our MSc Data Science and Advanced Computing.
On this course, you’ll work with experts from the Department of Computer Science to develop in-depth knowledge of:
- data analysis and data-driven knowledge discovery
- cloud computing
- machine learning and artificial intelligence
This knowledge is vital. Computer science is driving our digital transformation; it is at the forefront of scientific discovery and the heart of economic growth. Utilising society’s wealth of data requires people who can blend research, technology and ingenuity.
Aimed at aspiring data scientists – the sought-after, high-ranking professionals of big data – this course is accredited by the British Computer Society (BCS), the Chartered Institute for IT. The degree has been designed for graduates of computer science and its related disciplines, as well as IT professionals and data analysts.
With the exponential growth of data being produced and the rise of automation in the workplace, our MSc Data Science and Advanced Computing course aims to meet the high demand for skilled data scientists and Artificial Intelligence (AI) specialists. The UK Government has identified AI and data as one of the ‘four grand challenges’ of global trends that will transform our future, making our graduates highly valued and sought-after.
Your studies will be supported by access to dedicated facilities, which include:
- a rich software catalogue, plus dedicated computer laboratories, available Monday to Friday 08:00 to 18:00
- access to the Reading Academic Computing Cluster (RACC), a Linux cluster consisting of 500 CPU cores and several GPU nodes
- a master’s project/study room, featuring dual monitor PCs, a seating area, and a screen for practising presentations
- further resources including Oculus Rift virtual reality headsets, mobile phone and Raspberry pi devices, external web hosting via cPanel and a specialist wireless network to support mobile robots.
Additionally, Reading has the fourth highest number of digital tech organisations in the UK, beaten only by London, Manchester and Brighton. Take advantage of this by making connections with like-minded industry people at local tech and developer meet-ups. You can raise your own professional profile while solving real-world problems and talking through the latest cutting-edge discoveries and innovations.
Our location also means you’ll be ideally placed to connect directly with some of the biggest companies in the industry. Several of these companies are actively involved in the development and review of this course. Companies currently participating in our Industrial Advisory Board include Nationwide, Oracle, Sony, Microsoft and IBM.
100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Computer Science and Informatics). You will also have access to Reading’s specialist areas of computing research, including:
- Big data analytics. Applications include remotely sensed data analysis and interpretation, weather forecasting, and communication data stream analysis.
- Computational vision. Applications include visual surveillance, border control and security, machine learning for image and video-based prediction and classification.
- Cloud computing. Applications include data security and network security.