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PhD Applied Mathematics

Different course options

Full time | Colchester Campus | 4 years | JAN-25

Study mode

Full time

Duration

4 years

Start date

JAN-25

Key information
DATA SOURCE : IDP Connect

Qualification type

PhD/DPhil - Doctor of Philosophy

Subject areas

Applied Mathematics

Course type

Research

Course Summary

Our PhD 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 department to discuss potential research areas and subjects.

Our staff are strongly committed to research and teaching. They are world leaders in their individual specialisms, with their papers published in international journals such as Scientific Reports, PLoS Computational Biology, PLoS ONE, Chaos, Solitons and Fractals, Semiconductor Science and Technology, and Chaos: An Interdisciplinary Journal of Nonlinear Science, among others.

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

  • 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’.
  • 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.

Modules

This module is for PhD students who are completing the research portions of their theses.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£4,786

International fees
Course fees for EU and international students

For this course (per year)

£18,750

Entry requirements

You will need a good honours degree and a Masters degree in a relevant subject. A well-developed research proposal is also essential.

University information

The University of Essex prides itself on being at the forefront of research innovation and global change. It is a learning institution that fosters a culture of boldness and curiosity, where creativity in academia is encouraged. At Essex, students are taught by world-leading academics in a supportive and research-intensive environment. Over the duration of its sixty-year history, Essex has met and exceeded expectations for success, winning...more

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