The Numerical Analysis Undergraduate Study Pathway

This page is for students studying in the Department of Mathematics at The University of Manchester.

Since navigating your way through the list of undergraduate options can be tricky, we have grouped together below all the courses that have a numerical analysis flavour. Together, these courses provide a study pathway for those students wishing to specialise in numerical analysis during their BSc or MMath degree. Our courses range from purely theoretical ones on approximation theory to practical computing.

Second Year

In the compulsory course PDEs and Vector Calculus, all students will start to gain insight into the science of numerical analysis. In particular, approximation schemes are introduced for solving ordinary and partial differential equations.

The first optional course that is wholly dedicated to numerical analysis is:

This course is a pre-requisite for some of the numerical analysis options in the third and fourth years.

Third Year

In the third year, there are currently five numerical analysis lecture courses to choose from.

The following project options are also available:

Members of staff who supervise numerical analysis projects include:

  • Simon Cotter
  • Stefan Guettel
  • Nick Higham
  • Françoise Tisseur
  • Catherine Powell
  • David Silvester
  • Marcus Webb

A list of specific numerical analysis (and other applied) projects is available in our Study section. Please contact individual supervisors from the above list for more up to date details. We welcome enquiries by students interested in doing a project on any aspect of numerical analysis, not just those listed.

Fourth Year

MMath students may choose the following numerical analysis courses.