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  • DeadlineStudy Details:

    MSc/Diploma Full-time, Part-time

Course Description

Our MSc in Mathematics is designed to provide students with an in-depth understanding of a range of topics in mathematics. In addition, students who meet the appropriate criteria and proceed to the project will gain experience in presenting results in mathematics in a clear and concise manner. The MSc has at its core fundamental courses in pure mathematics and students will be able to take options from both pure and applied mathematics. Projects will concentrate on core mathematics.

Core courses include functional analysis and partial differential equations, while the various optional courses we offer include optimisation, solitons and differential geometry. The range of options for summer projects is broader and includes topics in spectral theory, applied analysis, integrable systems and mathematical physics.

Entry Requirements

Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired. Motivation and a willingness to work hard are also important pre-requisites.

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Fees

https://www.hw.ac.uk/study/fees-funding.htm

Programme Funding

MACS postgraduate scholarships

3 scholarships of £3,000 will be awarded to outstanding overseas applicants to any of our Mathematics MSc programmes. 1 scholarship of £1,000 will be awarded to an outstanding Home/EU applicant to any of our Mathematics MSc programmes.

Module Details

The MSc, has at its core, fundamental courses in pure mathematics and students will be able to take options from both pure and applied mathematics.

Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:

Core courses:

  • Modelling and Tools;
  • Functional Analysis;
  • Partial Differential Equations;
  • Pure Mathematics (recommended).

Optional Courses:

  • Mathematical Ecology;
  • Optimization;
  • Numerical Analysis of ODEs;
  • Applied Mathematics;
  • Dynamical Systems;
  • Stochastic Simulation;
  • Applied Linear Algebra;
  • Partial Differential Equations;
  • Numerical Analysis;
  • Bayesian Inference and Computational Methods;
  • Geometry.

Typical project subjects:

  • Domain Decomposition;
  • Mathematical Modelling of Crime;
  • The Geometry of Point Particles;
  • Can we Trust Eigenvalues on a Computer?;
  • Braess Paradox;
  • The Ising Model: Exact and Numerical Results;
  • Banach Alegbras.

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