The course

Full-time, Part-time, Per course
Course type
Entry date


  • Contact

    Markus Schmuck (Associate Professor)

  • Telephone

    +44 (0) 131 451 3206

  • Email


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.

Learn more about the MSc Mathematics directly from the Head of the Mathematics Department, Professor Bernd Schroers in this video

Programme duration

  • MSc - One year
  • Diploma - 9 months

Also available part-time over 2 to 3 years.

Watch a video

Visit our YouTube channel to see videos from our Staff, students and recent graduates

Course content

Detailed course guide

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.

Detailed course descriptions are available on our student pages.


Projects will concentrate on core mathematics.