New Route PhD - Mathematical Sciences
The Department of Mathematical Sciences has an exciting research agenda and an established international reputation. Its major areas of research are:
- Continuum Mechanics
- Computational Mathematics
- Mathematical Physics
- Non Linear Systems
- Operational Research and Risk Modelling
Apart from continuing to develop these well-established areas of excellence, the staff have always kept abreast of new areas of research in which mathematics plays an important role. These have included modern topics in the biological and material sciences, economics and finance.
Recent areas of application include the pattern formation in biological systems, the design of road traffic noise barriers, the computational modelling of advanced polymer structures, strategic and tactical planning of supply chains and portfolio optimisation.
The Department is also home to three research centres. The Brunel Institute of Computational Mathematics (BICOM) is an autonomous research institute specialising in the theory and application of finite element methods. The Centre for the Analysis of Risk and Optimisation Modelling Applications (CARISMA), an interdisciplinary research centre that is supported by the University's Strategic Research Initiative. The scientific objective of the Brunel University Random Systems Research Centre (BURSt), is to investigate and develop the theory of random systems.
Research projects in Mathematics have attracted funding of over £2.5 million from bodies such as EPSRC, DTI, European Union, Ministry of Defence, Ford Motor Co, Daimler-Benz, Unilever Research, Fidelity Investments, UBS Warburg, Advanced Portfolio Technology, and MB Risk Management.
Your taught programme will promote critical analysis, independence of thought, an awareness of broader issues which create an impact on the environment of research and an understanding of subject-specific knowledge at the forefront of your discipline. The taught element will cover generic and research skills and discipline-specific modules as follows:
|Theory and Practice in Research
|Research Design and Analysis/Research Techniques and Analysis
|Research Management, Leadership and Personal Development
|Academic Research Dissemination
|Knowledge Exchange and Research Impact
This programme is designed to be flexible and meet your individual needs therefore the modules above may run over several consecutive years allowing you to negotiate your route through the programme in a way that best supports your individual development.
Computational Mathematics with Modelling
- Stochastic Models and Mathematical Finance
- Numercial and Variational Methods for Partial Differential Equations
Modelling & Management of Risk
- Applied Risk and Optimisation in Financial Planning
- Risk Simulation and Decision Analysis
- Risk and Risk Regulations
- Financial Risk Management
- Computational Methods
- Methods of Mathematical Modelling
- Home/EU: £7,500 full-time
- Overseas: £15,000 full-time
Usual entry requirements
At least a 2.1 degree in Mathematics or a subject with a high mathematical content
Professor Julius Kaplunov
Tel +44 (0)1895 265392
Fax +44 (0)1895 269732
Apply for this course online: