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MSc Advanced Computational Mathematics

  • DeadlineStudy Details: 1 Year Full-time

Masters Degree Description

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

Entry Requirements

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.

*For Australia and Canada, normal degrees are accepted.

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Fees

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Student Destinations

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.

Module Details

Compulsory modules

  • Finite Element Methods for Boundary Value Problems & Approximation
  • Numerical Methods & Deep Learning Algorithms for Partial Differential Equation
  • Mathematics of Machine Learning
  • Research project

Elective modules

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