Masters Compare - Find your perfect masters course.
Masters Compare - Find your perfect masters course.
Study Details: 12 months full-time
Our MSc Advanced Computational Mathematics is an advanced course, offering the opportunity to develop understanding of computational mathematics and numerical analysis, enabling students to model complex real-world problems. The course combines theoretical foundations with practical computing skills, making students highly employable in finance, technology and scientific computing.
You will have the opportunity to gain skills in:
computation and algorithmic techniques
machine learning
development and implementation of numerical methods
working in an interdisciplinary framework
problem solving
effective communication
Minimum second-class (2:2) Honours degree or overseas equivalent* in mathematics, computer science or a closely related discipline
Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.
See our website for fees
Studying a postgraduate programme in maths and computing helps you further develop skills in logical thinking and statistical or strategic knowledge, which are valued by employers across many job sectors. Our mathematics graduates enter industries such as aerospace and software engineering, manufacturing, the actuarial, accountancy and banking professions, commerce and government, consultancy and education.
Many go on to work as financial analysts, software developers, accountants, operations analysts, treasury analysts, auditors and management trainees.
A masters degree in mathematics and computing is desirable to a wide range of employers who recruit from any degree subject. It is also useful for those considering a more general business career.
Core modules:
Finite Element Methods for Boundary Value Problems & Approximation
Numerical Methods & Deep Learning Algorithms for Partial Differential Equation
Mathematics of Machine Learning
Optional modules:
Modelling & Simulation with Applications to Financial Derivatives
Applicable Analysis 3
Optimisation: Theory
Big Data Fundamentals
Big Data Tools & Techniques
Legal, Ethical and Professional Issues for the Information Society
Data Analytics in R
Foundations of Statistics
Mathematical Introduction to Networks
Optimisation for Analytics
Medical Statistics
Quantitative Risk Analysis
Bayesian Spatial Statistics
Statistical Machine Learning
Data dashboards with RShiny
Deep Learning
The place of useful learning The University of Strathclyde is a leading international technological university located in the heart of Glasgow – one ...
Mon 16 Mar 2026