Methodologies

The University has developed leading-edge machine learning methods to build probabilistic predictive models from large-scale datasets from large-scale datasets.

The NLP and TM Group has consistently achieved high quality research outputs, attracted significant funding and trained outstanding PhD students.

Statistics at Manchester has had a long tradition – the chair in Mathematical Statistics is one of the oldest established chairs in the UK...

The University has developed leading-edge machine learning methods to build probabilistic predictive models from large-scale datasets from large-scale datasets.

The imaging science group uses advanced techniques to extract useful information from images and videos from a range of domains.

The Department of Mathematics is one of the largest integrated schools/departments of mathematical sciences in Europe, with 75 members of academic staff, 21 research staff, and over 140 doctoral students.

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.

Human Behaviour Analytics explores how informatics can contribute to understanding, modelling, predicting and influencing human behaviour...

The Advanced Processor Technologies (APT) group researches advanced and novel approaches to processing and computation.

Smart information management is one of the foundations of effective data science. Not only data, but computational methods – models, workflows, scripts, codes – must be treated as first class digital assets, managed alongside and combined with the data they process and produce.

Network analysis characterizes networked structures in terms of nodes and the ties, edges, or links that connect them.