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 & Statistical Inference

Statistical inference provides a principled framework for data analytics and underpins major developments in machine learning and evidence-based reasoning. The University is at the forefront...

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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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Information Management

Looking at the design, development and use of data & knowledge management systems, how data can be accessed & visualised, and how users interact with the web and how the web interacts with them.

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