# Mathematics

## Research programmes

### DPhil in Mathematics

##### Course Code | 002500

### MSc by Research in Mathematics

##### Course Code | 002510

Subject areas cover the entire spectrum of mathematics; our research is conducted in many fields, including:

- Algebra (primarily group theory and representation theory)
- Number theory
- Algebraic geometry
- Differential geometry
- Complex manifolds
- Global analysis
- Functional analysis
- Stochastic analysis
- Dynamical systems
- Mathematical logic
- Optimisation
- Combinatorial theory
- Quantum theory
- String theory
- Relativity
- Mathematical biology and ecology
- Mathematical modelling
- Fluid and continuum mechanics
- Numerical analysis
- Mathematics applied to problems in Earth Sciences, Materials Science and Finance

## How to ApplyThe deadlines for DPhil and MSc (R) programmes in Mathematics are All applications for University
scholarships and other central funding should be made by the
January deadline. Applications for EPSRC awards must be submitted by the March deadline, see the Mathematics
website for specific instructions The standard set of materials you should send with any application to a research programme comprises: - A research proposal,
- CV/résumé,
- Three (3) academic references, and
- Official transcripts detailing your university-level qualifications and marks to date.
Applicants to the DPhil and MSc by Research programmes in Mathematics and Numerical Analysis are not required to submit a detailed research proposal; please provide a brief indication of the area of your proposed research.
, and
consult the Application
Guide |

## Taught programmes

### MSc Mathematics and Foundations of Computer Science

##### Course Code | 002520

The course focuses on the interface between pure mathematics and theoretical computer science. The mathematical side concentrates on areas where computers are used, or which are relevant to computer science, namely algebra, general topology, number theory, combinatorics and logic.

Examples from the computing side include computational complexity, concurrency and quantum computing. Students take a minimum of five options and write a dissertation.

- Length of programme: Twelve months
- Core and optional courses
- Programme specification

### MSc Mathematical and Computational Finance

##### Course Code | 000171

The finance sector is a leading employer of mathematics graduates. This MSc trains graduates with a strong mathematical background to apply their expertise to the solution of real finance problems.

The MSc offers a variety of theoretical, numerical and practical programming courses, and students write a dissertation under the supervision of an expert in the field.

- Length of programme: Ten months
- Core and optional courses*
- Programme specification

##### * The MSc in MCF is currently being restructured for 2014/15 study - details will be published on the Mathematical Institute website as they are confirmed

### MSc in Mathematical Finance (part-time)

##### Course Code | 000172

The MSc is aimed at students with a strong mathematical background, and with either several years’ professional work experience in a financial institution, or to those embarking upon such a career. Students are educated in state-of-the-art mathematical finance and develop high level mathematical and computational skills whilst retaining a strong industry focus.

The MSc is structured for those in full-time employment, including those not resident in the UK. It is delivered in a series of week-long intensive modules by a panel of tutors comprising both University academic staff and industrial practitioners.

Modules cover the most important technical and quantitative aspects of finance in regular use in financial institutions, from fundamental concepts through to the latest developments in areas such as risk management.

### MSc in Mathematical Modelling and Scientific Computing

##### Course
Code | 002490

This course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed both on the formulation of problems and on the analytical and numerical techniques for their solution and the computation of useful results. In addition to coursework on mathematical methods, small groups of students develop models for nonstandard problems and evaluate their potential. The numerical analysis covers topics in linear algebra, approximation theory, and optimisation.

- Length of programme: Twelve months
- Core and optional courses
- Programme specification

## How to ApplyThe deadlines for the MSc programmes (with the exception of the MSc in Mathematical Finance) are For application deadlines for the MSc in Mathematical Finance, please see the Mathematical Institute website. Please note that the MSc in Mathematical Finance starts in January rather than October. All applications for University scholarships and other central funding should be made by the January deadlines. Applications for EPSRC awards must be submitted by the March deadline, see the Mathematics website for specific instructions The standard set of materials you should send with any application to a taught course comprises: - A statement of purpose,
- CV/résumé,
- Three (3) academic references, and
- Official transcripts detailing your university-level qualifications and marks to date.
In addition to the standard documents above, applicants to the MSc in Mathematical and Computational Finance and the part-time MSc in Mathematical Finance must also submit the results of an Admissions Exercise. For full instructions and to download the relevant exercise, please see the Mathematical Institute website.
, and
consult the
Application
GuideMathematics website
for any additional guidance. |

## Academic resources

### Whitehead Library

Covers the spectrum of mathematical topics at postgraduate/research level

### Radcliffe Science Library

## Academic staff profiles

## Graduate destinations

Further research into mathematics and/or computer science or industry.