Great business decisions are underpinned by high quality data. As a data scientist, you’re absolutely integral to the success of an organisation. You’ll source, analyse and utilise vast amounts of data to support strategic decision-making.

As a student, you’ll be part of our vibrant research community and will have very good opportunities to progress to a PhD. You’ll be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies use of metaheuristics for rule and tree induction all-rule induction clustering techniques feature subset selection feature construction time series classification as well as many applications in the financial services industry, medicine, agritech, and telecommunications.

If that’s where you aspire to be, then this part-time MSc Data Science course is for you. You'll gain an advanced practical and theoretical grounding in data mining and statistics, with the chance to customise your degree through modules in artificial intelligence, visualisation, programming and database manipulation.

Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of modern businesses. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills.

We have a large data science and statistics research group, which has made significant contributions to the field in the last 20 years, so you’ll be working directly with pioneering experts. The research group has collaborated in research or consultancy projects with a wide range of organisations, including: the Biotechnology and Biological Sciences Research Council (BBSRC), the Engineering and Physical Sciences Research Council (EPSRC), the Institute and Faculty of Actuaries and The Royal Society, Alston Transport, Derbyshire Police, Aviva, and National Air Traffic Services.