Study Details: MSc 1 year full-time
This MSc in Mathematical Sciences will develop your mathematical knowledge through a range of modules concentrated on one of our research specialisms in algebra, number theory, geometry and analysis, mathematical physics and mathematical biology. It will provide a bridge to world-class research in one of these areas.
It combines both traditional mathematics subjects with advanced courses that will prepare you for an array of numerate and analytical professions to be found at the core of the digital economy as well as prepare you for a PhD or other research paths.
As part of the Department of Mathematics at York, you will join our friendly and welcoming community. You’ll benefit from high-quality teaching by expert staff, who are engaged in world-leading research in many areas of mathematics.
2:2 or equivalent in Mathematics or in a subject with a substantial mathematics component.
For fees and funding options, please visit website to find out more
The skills you develop on this course are in high demand in advanced careers that rely on logic and problem solving. It’s also ideal preparation if you want to take your studies to a higher level.
Core modules
Preparatory Project in Mathematical Sciences
MSc Dissertation in Mathematical Sciences
Option modules
You will study five option modules from one of three pathways. Example modules can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
Pure Mathematics Pathway
Commutative Algebra and Algebraic Geometry
Geometric and Analytic Number Theory
Partial Differential Equations
Riemannian Geometry
Lie Theory
Mathematical Physics Pathway
Partial Differential Equations
Quantum Field Theory
Quantum Theory and Quantum Information
Riemannian Geometry
Classical and Biological Fluid Dynamics
General Relativity
Mathematical Biology Pathway
Mathematical Modelling: Nonlinearity, Uncertainty, and Computational Methods
Partial Differential Equations
Mathematical Methods in Biophysics
Classical and Biological Fluid Dynamics
Mathematical Ecology, Epidemiology and Evolution
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
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