Statistics, inverse problems, uncertainty quantification and data science

Our researchers combine statistical and mathematical models, data science and computational algorithms to solve real-world problems.

To tackle the complex challenges of modern society, and due to increases in available computing power and data, traditional disciplines in statistics and applied mathematics are merging into exciting new inter-disciplinary fields.

Building on a strong tradition of statistics and numerical analysis in Manchester, our researchers work in a range of inter-connected areas, combining statistics, mathematical models, data science and computational algorithms to solve problems arising in engineering, life sciences and public health.

Our staff, students and postgraduate researchers have access to a fantastic range of facilities across the University.