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.
All modules are subject to availability and this list may change at any time.
All modules are subject to availability and this list may change at any time.
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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.
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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.
All modules are subject to availability and this list may change at any time.
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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.
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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.
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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.
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Capstone Research Topics in Astronomy
This module will deliver cutting-edge research topics across astronomy and astrophysics. You'll also be trained in the use of modern astrophysics databases.
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Topics in Data Science
Cover a selection of topics in data science, which lies at the interface of applied mathematics, probability and statistics, physics and computer science.
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Computational Algebra
How can algebra be used to solve problems with the aid of modern computing technology? This module gives an introduction to the new mathematical discipline called computational algebra. You will also study related topics in algebra, number theory, and their applications.
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General Relativity and Further Quantum Mechanics
The physics of the very large and the very small. You’ll learn Einstein’s theory of general relativity and explore topics in quantum mechanics.