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Actuaries provide assessments of financial security systems, with a focus on their complexity, their mathematics, and their mechanisms. Actuaries quantify the probability and manage the risk of future events in areas such as insurance, healthcare, pensions, investment, and banking and also in non-financial areas.

Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.

Our MSc Data Science and its Applications is a conversion course, designed for students with only a little prior experience of university-level mathematics and statistics, who want to be part of our fast-growing digital economy (students with no exposure to university-level mathematics may consider our MSc Applied Data Science). This course will place you at the core of data science, with the application of theory and methods to real-world problems, including the use and exploitation of big data.

Our Postgraduate Diploma in Mathematics and Finance produces graduates with a sound mathematics and finance background, and with the necessary skills like computing, use of algorithms and analysing data, to be applied to problems arising in finance. Postgraduate Diplomas last for six to nine months (full-time) and include the modules and assessed work of a Masters, without a dissertation.

Our MSD Statistics is a research degree within our School of Mathematics, Statistics and Actuarial Science and we have staff members available to act as supervisors across a number of areas within statistics.

Our School of Mathematics, Statistics and Actuarial Science offers MSD Mathematics supervision in a wide range of mathematical areas, including both pure and applied subjects. Possible areas of research include algebra, combinatorics, computational mathematics, chaos theory, dynamical systems, differential equations and numerical analysis.

Our Postgraduate Diploma Optimisation and Data Analytics is aimed at those with a first degree in which the major subject was mathematics, and we expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming. Postgraduate Diplomas last for six to nine months (full-time) and include the modules and assessed work of a Masters, without a dissertation.

Our MSD Biostatistics is a research degree within the School of Mathematics, Statistics and Actuarial Science.

Undertaking our MSD Pure Mathematics gives you the opportunity to investigate such areas as algebraic geometry, group theory, semigroup theory, combinatorics and differential equations. We have staff with expertise in each of these areas who are enthusiastic about supervising PhD students.

Our MSD Applied Mathematics provides you with the opportunity to study areas such as dynamical systems, pattern formation, chaos theory, ordinary and partial differential equations, Hamiltonian systems, stability theory, computational neuroscience, complex systems, complex networks and nonlinear waves. We have staff with expertise in these areas who are willing to supervise PhD students, and you are invited to contact our School to discuss potential research areas and subjects.