MSc in Mathematics

About the course

This programme has been designed to give you an advanced understanding of mathematics. Choose to specialise in a particular area or study across a range of mathematical topics in pure, applied and statistics. You will gain a solid foundation for any career requiring a strong mathematical background, including education, finance and engineering. Our graduate seminars and projects let you work closely with experts at the forefront of research and give you the transferrable skills that are invaluable for employment and further studies at PhD level.

You'll be able to enhance your mathematical understanding using computer programming in MATLAB, R, Python and more. The research interests of our staff include: algebra, fluid mechanics, industrial applications of mathematics, theoretical cosmology and astrophysics, statistical mechanics, and data analysis. At Hull, you will be part of a small community of like-minded mathematicians. 

What you'll study

There are three trimesters. During the first two trimesters, you'll study the compulsory modules, and choose four optional modules. For the final trimester, you will work closely with a supervisor on an advanced mathematical project. 

Core modules

• Advanced Mathematical Project

  In coordination with a supervisor you will choose and study an advanced topic of mathematics.

Compulsory modules

• Graduate Seminar A

  The graduate seminar allows you to work closely with an academic on a mathematical topic that you are interested in. The module involves regular interactive group discussions, presentations and sharing of knowledge with staff and other students.

• Graduate Seminar B

  The graduate seminar allows you to work closely with an academic on a mathematical topic that you are interested in. The module involves regular interactive group discussions, presentations and sharing of knowledge with staff and other students.

Optional modules

• Mathematical Logic

  Explore first-order logic from a formal, rigorous perspective. You will learn to evaluate and construct logical arguments. Topics include symbolic logic, proofs, consistency and completeness.

• Measure, Probability and Integration

  You will study measure theory which connects analysis to advanced probability theory. Topics include Lebesgue measure, probability spaces, Kolmogorov’s zero-one law, weak and strong laws of large numbers and central limit theorem.

• Cosmology

  How old is the Universe? Where does matter come from? How will the Universe end? You will investigate these and other fundamental questions in cosmology using the mathematical framework of general relativity. 

• Game and Decision Theory

  This module introduces the basic notions from game theory and you will learn how to determine optimal strategies for non-cooperative and cooperative games. You will also learn how to make choices under uncertainty in the framework of decision theory.

• Numerical Solution of Partial Differential Equations

  You will investigate how PDEs can be solved using various numerical schemes. Topics include elliptic, parabolic and hyperbolic PDEs, convection-diffusion equation and finite-element method.

• Interacting Particle Systems

  Systems of interacting particles are investigated using statistical mechanics. Topics include Ising, Potts and voter models, thermodynamic limit, phase transitions and duality.