Department of Mathematical Sciences

Organization profile

Organisation profile

Our research is based on teams focusing on particular research areas but with a strong culture of collaboration and mutual support.

In the 2014 Research Excellence Framework (REF), 88% of our research in all areas (Pure and Applied Mathematics, Statistics and Probability) was rated world leading/internationally excellent. The results of REF 2014 confirm the excellence of the research carried out in the Department of Mathematical Sciences.

Mathematical Sciences Research Centres:

The groups within Mathematical Sciences include:

Current members of the department can find more information about our research in our Research Wiki.

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Advice for postdoctoral researchers about how to apply for fellowships and join the Department of Mathematical Sciences.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Model Mathematics
Partial differential equations Engineering & Materials Science
Experiments Engineering & Materials Science
Lévy process Mathematics
Fluids Engineering & Materials Science
Algebra Mathematics
Costs Engineering & Materials Science
Boundary conditions Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2004 2023

Wolfson Merit Award

Kyprianou, A.

The Royal Society


Project: Research council

KTP with Oil & Gas Measurement Limited

Soleimani, M. & Astin, I.


Project: Central government, health and local authorities

Minjiang Scholars Programme Award

Su, X.


Project: OtherInternational Collaboration

Research Output 1976 2018

Linear systems

And/or trees: a local limit point of view

Broutin, N. & Mailler, C. 2018 In : Random Structures and Algorithms. p. 1-44

Research output: Contribution to journalArticle

Bayesian Regression Modeling with INLA

Faraway, J., Wang, X. & Yue, Y. 30 Jan 2018 Chapman & Hall. 304 p.

Research output: Book/ReportBook

Laplace approximation
Laplace's method
Markov chain Monte Carlo algorithms
Bayesian model
Bayesian inference