Machine learning, data mining and high-performance computing are concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art artificial intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments and provide intelligent decision support.

This programme is aimed at giving you a solid grounding in machine learning, data mining and high-performance computing technology. It aims to equip you with the skills necessary to apply these tools and techniques to solving complex scientific and business problems.

Study Details:

MSc 1 year full-time

Module Details:

There are four core units and a choice of optional units, which you can select depending on your previous experience or preference. The programme is updated on an ongoing basis to keep it at the forefront of the discipline.

You will then complete a project that involves researching, planning and implementing a major piece of work. The project must contain a significant scientific or technical component and will usually involve software development. It is usually submitted in September.

Visit our programme catalogue for full details of the structure and unit content for our MSc in Advanced Computing – Machine Learning, Data Mining and High-Performance Computing.

Student Destinations

Skilled professionals and researchers who are able to apply the technologies covered in this programme to current issues are in high demand in today’s job market.


We charge an annual tuition fee. Fees for 2019/20 are as follows: UK/EU: full-time £11,000 Overseas: full-time £21,700 Channel Islands/Isle of Man: full-time £14,150

Entry Requirements

An upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in computer science or a related discipline. Strong performance in core computer science units is essential. Good programming skills are also required.

Please see our website for how to apply

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Please see our website for how to apply

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University of Bristol

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