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.
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.
* 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.
How to ApplyThe deadlines for the MSc programmes (with the exception of the MSc in Mathematical Finance) are 22 November 2013, 24 January 2014 and 14 March 2014. Later applications will be considered if places are still available. The MSc in Mathematical Finance will open to admissions in early 2014. 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: 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. Please follow the detailed
instructions in the Application
Guide, and
consult the
Mathematics website
for any additional guidance. |
