Course summary
Students on the MSc Mathematics will enhance their ability to apply analytical techniques, and perform the clear logical thinking and deductive reasoning necessary to explore complex patterns, structure and problems. The MSc in Mathematics consists of two semesters of taught courses run by the School of Mathematics and Statistics, followed by a dissertation undertaken over the summer months. If you are interested in part-time study, you should email [email protected] in the first instance to request approval. This programme is particularly suited for those seeking a career in academic mathematical research or a mathematics-related career in the private sector. Highlights
- A range of advanced mathematical and statistical module choices are offered.
- Students can explore diverse topics in pure and applied mathematics, and possibly some statistics, at an advanced level.
- Students are prepared to pursue research in mathematics.
- Students will have the opportunity to be taught in small groups, and work closely during the dissertation, with leading experts in their fields.
- Regular research activities are held, given by experts from within and out with the School.
Modules
The modules listed here are indicative, and there is no guarantee they will run for 2023 entry. Modules can be chosen from across the School's undergraduate and postgraduate-level modules. At least three-quarters of your credits must come from postgraduate-level modules, and half of your credits must come from Pure Mathematics or Applied Mathematics modules. Undergraduate-level Modules Here is a sample of optional modules that may be offered.
- Asymptotic Methods
- Bayesian Inference
- Classical Mechanics
- Classical Statistical Inference
- Computing in Mathematics
- Computing in Statistics
- Design of Experiments
- Dynamical Systems
- Financial Mathematics
- Finite Mathematics
- Advanced Analytical Techniques
- Advanced Combinatorics
- Advanced Computational Techniques
- Advanced Data Analysis
- Advanced Solar Theory
- Applied Statistical Modelling using GLMs
- Ergodic Theory and Dynamical Systems
- Galois Theory
- Geophysical Fluid Dynamics
- Hyperbolic Geometry
Assessment method
Most modules for the MSc in Mathematics are traditional semester-long lecture courses with end-of-semester exams, but some modules have a larger element of continuous assessment.
Entry requirements
A 2.1 undergraduate Honours degree in Mathematics, Statistics or a closely related subject area. If you studied your first degree outside the UK, please see the university’s international entry requirements.
English language requirements
For the current English Language requirements please visit the English language requirements for postgraduate students on the University of St Andrews website.
English language requirements for postgraduate students
https://www.st-andrews.ac.uk/subjects/entry/language-requirements/postgraduate/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Carnegie-Cameron bursaries; entrant accommodation bursary; Formula Santander postgraduate scholarship; recent graduate discount; Thomas and Margaret Roddan Trust bursary.
Provider information
University of St Andrews
College Gate
St Andrews
KY16 9AJ