MSc in Industrial Mathematics at University of Huddersfield | Student Connect

University of Huddersfield

Industrial Mathematics MSc

Our Masters course in Industrial Mathematics is designed to meet the requirements of the modern knowledge economy for employees with both the mathematical skills needed for modelling of industrial problems and processes, and the communication and teamwork skills needed to be able to apply these skills as part of a cross-functional or interdisciplinary team.

In addition to acquiring deep knowledge of mathematical tools and techniques needed to model industrial systems, we aim to develop the communication skills needed to understand the requirements of the problem owner and work with them to formulate a description true to the actual need and amenable to mathematical analysis. After the analysis has been carried you’ll also have the skills needed to communicate results in the context of the original problem, e.g. as actionable recommendations.

On completion of this course you will be able to work as mathematicians and mathematical modellers in industry, either working independently or embedded in cross functional teams. This course will also allow you to progress into academic research via a PhD qualification.

Entry Requirements

Entry requirements for this course are normally:

  • A BSc or BEng Honours degree (2:2 or above) in Mathematics, Physical Science, Computing, Engineering or a related discipline.
  • You are expected to be familiar with and have some aptitude for basic Mathematics and basic statistical concepts and methods.
  • Substantial (3+ years) relevant industry experience.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable

Career Prospects

A mathematics qualification opens up a broad range of careers. Just some but not limited to, of the sectors employing mathematicians are Advertising and Marketing, Finance and Banking, Medicine and Health and IT and Computers.

Course Details

Effective Research and Professional Practice
Advanced Mathematical Methods
Scientific Computing
Data Analysis and Statistics
Advanced Mathematical Modelling
Individual Project: Industrial Mathematics

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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