Mathematics University of Essex

Overview

Mathematics is the language that underpins the rest of science. Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Mathematics topics at University of Essex on offer include:

• pure mathematics, including algebra, graph theory, number theory and cryptography

• applied topics such as mathematical modelling, numerical methods, dynamical systems and differential equations

• statistical and financial methods including stochastic processes, financial derivatives and computational statistics

Your future

As well as these mathematical topics, this degree develops your programming skills in languages such as Python and SQL, and you learn to solve sophisticated problems using computational toolkits such as MATLAB, Maple, and R.

Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics, mathematical biology, dynamical systems, complex systems, and complex networks. we are genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues.

Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.

We do practical research with financial data (for example, assessing the risk of collapse of the UK's banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.

We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.

Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.

Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects' and ‘Searching for gems in the landscape of cyclically presented groups'.

Our applied mathematicians apply mathematical methods to a diverse range of fields, including finance, epidemiology, biology (both animal and human), dynamical systems, chaos theory, Hamiltonian systems, neuroscience, physics and tensor product decompositions.

We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs' of modern education, which are critical thinking, communication, collaboration, and creativity.