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MSc Industrial Mathematical Modelling

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

Our MSc Industrial Mathematical Modelling will equip you with the skills and techniques required by industrial mathematics, including the real world problem-solving abilities in applied mathematics that are highly sought after within industry and commerce.

Industrial mathematics is a branch of applied mathematics that focuses on modelling, simulating and solving problems of relevance to industry.

Mathematical modelling is a valuable skill for solving the real problems and challenges faced by companies and provides a useful language to describe, solve and validate the problem. As such, our industrial mathematics master’s is especially suitable if you have undertaken a three-year bachelor’s degree in mathematics, science or engineering and wish to apply your enhanced skills in an industrial context. The programme also also provides excellent preparation for PhD study.

Entry Requirements

A 2:1 honours degree (or equivalent international qualification) in Mathematics, Engineering or Science with a high mathematical content (50% of academic modules must be mathematically related).

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are lots of options available to you to fund your master’s programme, from alumni bursaries to school and department scholarships and government loans.

Student Destinations

Graduate employment spans a wide range of industries encompassing aerospace, automotive electronics and computer interests, as well as software houses, insurance companies and research establishments and institutions.

Our graduates have been able to pursue rewarding careers with across different industries, including pursuing an academic career, software engineering and roles within the energy field.

Module Details

Semester 1 – Compulsory Modules

  • Programming and Numerical Methods
  • Mathematical Modelling I
  • Fluid Mechanics

Optional Modules

  • Functional Analysis
  • Asymptotic Methods
  • Stochastic Models in Finance
  • Mathematical Methods for Interdisciplinary Sciences

Semester 2 – Compulsory Modules

  • Theory of PDEs
  • Static and Dynamic Optimisation
  • Mathematical Modelling II

Optional Modules

  • Spectral Theory
  • Statistics for Large Data
  • Computational Methods in Finance

Summer – Compulsory Modules

  • Industrial Modelling Research Project

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