MSc Advanced Computational Mathematics at University of Strathclyde

Programme overview

A one-year on-campus MSc for students with a strong background in mathematics, computational science or numerical methods, building expertise in computational methods, algorithm development, machine learning theory and numerical methods for finance, engineering and data-driven industries.

What you will study

Compulsory modules include Finite Element Methods for Boundary Value Problems & Approximation, with electives such as Modelling & Simulation with Applications to Financial Derivatives, Applicable Analysis 3, Optimisation: Theory, Big Data Fundamentals, Data Analytics in R and Foundations of Statistics in Semester 1, and Mathematical Introduction to Networks, Optimisation for Analytics, Medical Statistics, Quantitative Risk Analysis, Spatial Statistics and Statistical Machine Learning in Semester 2.

Career pathways

Graduates enter industries such as aerospace, software engineering, manufacturing and the actuarial, accountancy and banking professions, working as financial analysts, software developers, accountants, operations analysts, treasury analysts, auditors and management trainees.

Official programme page

Application information

Entry requirements

Minimum second-class (2:2) Honours degree or overseas equivalent in mathematics, computer science or a closely related discipline (normal degrees accepted from Australia and Canada). Applicants with relevant experience or appropriate professional qualifications are also welcome. English language: IELTS 6.0 overall with no component below 5.5. International applicants who do not meet the academic requirement can take the Pre-Masters Preparation Course at the University of Strathclyde International Study Centre.

Domestic applicants: GBP 13,300 a year (2027/28). Same fee for Scottish and England, Wales & Northern Ireland fee status. Tuition only. Source

International applicants: GBP 28,500 a year (2027/28). Tuition only. Source

Intake: September

Duration: 12 months full-time (on campus)

Explore more study programmes

STEM