MSc Methods in Applied Mathematics at University of Glasgow

Programme overview

This MSc develops advanced quantitative, modelling and computational skills for industry, finance, technology and research. Teaching combines lectures, computational labs and case-based work on real-world problems.

Duration: 12 months full-time; 24 months part-time | Intake: September | Location: Glasgow, Scotland, United Kingdom

What you will study

Semester 1 courses include Mathematical Methods, Fluid Mechanics, Number Theory, Writing and Presenting Mathematics, Numerical Methods, Partial Differential Equations and Theoretical Foundations of Machine Learning and Deep Learning. The degree concludes with a supervised summer research project and dissertation.

Career pathways

Graduates enter data science, finance, insurance, IT, government, engineering, education, science and health.

Official programme page

Application information

Entry requirements

2.1 Honours degree (or non-UK equivalent) in mathematics, engineering, computing science or physics with at least five credit-bearing university-level mathematics modules at an average grade of pass, including at least one each in linear algebra and vector/multivariate calculus at level 1 or 2 plus three other maths modules from the accepted list (e.g. differential equations, complex analysis, mechanics, numerical analysis, real analysis). A 2:2 may be considered if the core maths modules are at 2:1 level. International applicants from non-majority English-speaking countries: IELTS Academic 6.5 overall with no component below 6.0 (other tests accepted).

Domestic applicants: GBP 13,092 a year (2027/28). Home & RUK full-time fee; part-time rates are quoted per 20 credits and are not a programme total Source

International applicants: GBP 31,515 a year (2027/28). International & EU full-time fee Source

Intake: September

Duration: 12 months full-time; 24 months part-time

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