UNIVERSITY OF BIRMINGHAM

Applied Mathematics

Ph.D  |  Placement Year:   No

Training is provided through individual supervision of research, by advanced seminar courses and conferences, and by generic courses. The PhD degree usually involves a qualifying dissertation submitted during the second year of study, which is helpful training for writing the PhD thesis. 

The Applied Mathematics Research Group works on a wide variety of topics in a range of areas such as applied analysis, fluid mechanics, mathematical biology, financial mathematics and computational mathematics.

The research in applied analysis studies reaction-diffusion equations, nonlinear waves and perturbation theory. Inverse problems are also an active area of investigation. 

The area of fluid mechanics is a traditional research field in the School. Active research is pursued in the areas of bubble dynamics and biological and physiological fluid mechanics, dynamic wetting, flows with transitions in the topology of the flow domain, dynamics of liquid jets and drops, flows with phase transitions, fuel cells and many more. A School supercomputer is available for research. Research students' work often arises from industrially motivated problems or develops new directions in existing research projects. 

Research in Computational Mathematics includes numerical solution of partial differential equations, design and analysis of algorithms for large-scale problems, numerical linear algebra and matrix analysis. 

The area of financial mathematics represents a new and exciting field of research. Topics of research including both modelling and computational finance and may be pursued in the School or in collaboration with the School of Economics.

Programme description

Training is provided through individual supervision of research, by advanced seminar courses and conferences, and by generic courses. The PhD degree usually involves a qualifying dissertation submitted during the second year of study, which is helpful training for writing the PhD thesis. 

The Applied Mathematics Research Group works on a wide variety of topics in a range of areas such as applied analysis, fluid mechanics, mathematical biology, financial mathematics and computational mathematics.

The research in applied analysis studies reaction-diffusion equations, nonlinear waves and perturbation theory. Inverse problems are also an active area of investigation. 

The area of fluid mechanics is a traditional research field in the School. Active research is pursued in the areas of bubble dynamics and biological and physiological fluid mechanics, dynamic wetting, flows with transitions in the topology of the flow domain, dynamics of liquid jets and drops, flows with phase transitions, fuel cells and many more. A School supercomputer is available for research. Research students' work often arises from industrially motivated problems or develops new directions in existing research projects. 

Research in Computational Mathematics includes numerical solution of partial differential equations, design and analysis of algorithms for large-scale problems, numerical linear algebra and matrix analysis. 

The area of financial mathematics represents a new and exciting field of research. Topics of research including both modelling and computational finance and may be pursued in the School or in collaboration with the School of Economics.

Key Modules

The School of Mathematics has a strong research culture, with researchers of international stature in each of its main specialisms.

We have:

  • around 50 members of academic staff
  • around 60 full-time postgraduate students (UK, EU and International)
  • regular research seminars and specialist meetings providing a stimulating research environment and opportunities to interact with international experts; see the Birmingham Mathematics Institute

Currently thriving at Birmingham are the following research groups: Applied Mathematics: applied analysis, financial mathematics, fluid mechanics, mathematical biology, nonlinear waves, scientific computing Theoretical and Computational Optimization: mathematical theory and methods applicable to managerial decision-making, particularly non-linear, discrete, and multi-criteria optimization Pure Mathematics: algebra, analysis, combinatorics and logic Statistics: nonparametric, robust methods, time series analysis and medical statistics

Module & Subject
Entry Requirements

To gain admission to a research degree programme (with the exception of the Doctor of Dental Surgery (DDS) or Doctor of Medicine (MD)) an applicant must comply with the following entry requirements:

  • Attainment of an Honours degree (normally a First or Upper Second Class Honours degree or equivalent) in a relevant subject awarded by an approved university, or
  • Attainment of an alternative qualification or qualifications and/or evidence of experience judged by the University as indicative of an applicant’s potential for research and as satisfactory for the purpose of entry to a research degree programme.

In addition:

  • Admission and registration for a research degree programme may be conditional on satisfactory completion of preliminary study, which may include assessment.
  • In some cases you will also need to have completed a Masters degree or equivalent qualification in a relevant subject.

Please note

  1. Entry onto many programmes is highly competitive, therefore we consider the skills, attributes, motivation and potential for success of an individual when deciding whether to make an offer.
  2. Specific entry requirements are given for each programme. Any academic and professional qualifications or industrial experience you may have are normally taken into account, and in some cases form an integral part of the entrance requirements. If your qualifications are non-standard or different from the entry requirements stated in the online prospectus, please contact the relevant school or department to discuss whether your application would be considered.
  3. After we have received your application you may, if you live in the UK, be invited for an interview or to visit us to discuss your application.
Foundation Campus
No Foundation
Course Option
Course Duration: 3 Year
Course Fee:  16740.00
Course Level:  PhD
Location
Country:  UNITED KINGDOM
Campus Location:  Edgbaston Birmingham B15 2TT United Kingdom
Intake Deadline
SEPTEMBER