Universities › Queen Mary University of London

MSc Mathematics

Queen Mary University of London — London, United Kingdom

MSc Mathematics is a postgraduate Mathematics & Statistics course at Queen Mary University of London, London, United Kingdom. It takes 2 years, costs £31,450 per year and starts in September.

Postgraduate · 2 years · Full-time · Mathematics & Statistics · £31,450 per year

Intakes: September

Develop critical thinking, problem-solving, and logical reasoning skills. Explore diverse career paths and prepare for a future of endless possibilities.

Modules

  • Programming in Python
  • Topics in Scientific Computing
  • Chaos and Fractals
  • Differential Geometry in Theoretical Physics
  • Group Theory
  • Partial Differential Equations
  • Applied Statistical Modelling
  • Machine Learning with Python
  • Random Processes
  • Algorithmic Graph Theory
  • Coding Theory
  • Graphs and Networks
  • Metric Spaces and Topology
  • Optimisation for Business Processes
  • Ring Theory
  • Advanced Machine Learning
  • Bayesian Statistics
  • Computational Statistics with R
  • Digital and Real Asset Analytics
  • 67% Modules
  • 33% Research project
  • You will undertake more self-directed work in completing your final project
  • Classical groups and simplicity
  • Deterministic chaos
  • The rendezvous search problem
  • Proof of the Sylow theorem

Frequently asked questions

How long is MSc Mathematics at Queen Mary University of London?

MSc Mathematics takes 2 years (Full-time).

How much does MSc Mathematics at Queen Mary University of London cost?

The listed tuition fee is £31,450 per year. Fees can change, so confirm the current amount before you apply.

When does MSc Mathematics start?

Intakes: September.

What level is MSc Mathematics?

It is a postgraduate course in Mathematics & Statistics.

What will I study on MSc Mathematics?

Modules include Programming in Python, Topics in Scientific Computing, Chaos and Fractals, Differential Geometry in Theoretical Physics, Group Theory and Partial Differential Equations.