Foundations

The Foundations of data science lie in methodology for the analysis, interpretation and organisation of complex data. Our schools of Mathematics and Computer Science carry out world-class research in computational statistics, machine learning, visual computing, advanced interfaces and information management. Another important area of data science research is around confidentiality and privacy, which are a particular areas of focus of our the Cathie Marsh Institute for Social Research. Underpinning these developments is the requirement for powerful, scalable and reliable algorithms and architectures. 

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Text Analytics

An alert reader will make connections between seemingly unrelated facts to generate new ideas or hypotheses. However, the burgeoning of published text means that even the most avid reader cannot...

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Machine Learning

The University has developed leading-edge machine learning methods, implemented in widely-used open-source computational packages, to build probabilistic predictive models from large-scale datasets...

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Statistics

Statistics at Manchester has had a long tradition – the chair in Mathematical Statistics is one of the oldest established chairs in the UK and the prestigious Journal of Time Series Analysis had ...

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Privacy

Data privacy, is the relationship between the collection and dissemination of data, technology, the public expectation of privacy, and the legal and political issues surrounding them...

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Image Analytics

Image analysis is the extraction of useful information from digital images and has applications in many fields from astronomy to zoology, including biology, medicine and industrial inspection...

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Numerical Algorithms

A long-standing interest in Manchester is the design and implementation of numerical algorithms, in areas such as numerical linear algebra, nonlinear optimisation and differential equations.

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