Our Industrial Mathematical Modelling MSc is designed to help you develop the mathematical modelling skills and techniques increasingly highly sought after within industry and commerce.
The Industrial Mathematical Modelling MSc enables you to explore mathematical models of real-world processes and their formulation, with a strong emphasis on how these techniques can be applied in industry.
A key feature of the Industrial Mathematical Modelling programme is working in small groups to solve real-life problems using mathematical models, such as estimating the loss of heat from a warehouse. Another unique aspect is our Advanced Reliability module, designed to show how statistics can be applied to industrial problems to support the development of strategies for the replacement of engineering parts before they break.
Elsewhere on the Industrial Mathematical Modelling programme , you will also develop skills to solve partial differential equations and learn the basic principles behind, for example, the finite element method, which is heavily used in industry for solving structural problems.
A highlight of this industry-focused programme is your 12-week summer project which is often carried out in a local company. Past projects have included modelling asthma inhalers (3M), predicting gas and electricity demand (DNV-GL), modelling hybrid (electric-petrol) cars and the delays in switching between the two propulsion systems (Jaguar-Land Rover). The project element is supported by Loughborough University's well-established links to industry and will give you a practical, real-world insight into how mathematical theory and technique is applied in organisational scenarios.
The Department of Mathematical Sciences is now housed in a newly refurbished building with dedicated modern facilities. Research within the department includes work for which the programme would provide a fundamental basis, such as work in solar, water wave and nuclear energy, thin film fluid dynamics and filtration through porous media.
What makes this programme different?
- 12-week summer project - often carried out in a local company
- Provides mathematical techniques required by industry
- Learn the skills to solve partial differential equations
Who should study this programme?
The Industrial Mathematical Modelling MSc is especially suitable for students who have undertaken a 3 year BSc degree in mathematics, science or engineering and who are looking either to continue for PhD study or to use their enhanced skills in an industrial context.
Entry requirements
An honours degree (2:1 or above) or equivalent overseas qualification in mathematics or an engineering or science subject with a high mathematical content.
English language requirements
All applicants for admission to Loughborough University must have a qualification in the English Language before they can be admitted to any course or programme, whether their first language is English or not. Find out more about our English Language requirements on our webpage.
IELTS: overall 6.5 with minimum 6.0 in each component.
What you'll study
Our Industrial Mathematical Modelling MSc provides a solid foundation in the core areas of mathematics relevant to industry and stimulates students to meet their own aspirations, interests and educational needs.
Modules
Industrial Mathematical Modelling MSc covers a wide range of topics; to give you a taster we have expanded on some of the core modules affiliated with this programme and the specific assessment methods associated with each module. You will study the following modules. All are compulsory and worth 15 credits except the summer project which is worth 30.
- Regular and Chaotic Dynamics
- Programming and Numerical Methods
- Advanced Reliability, Availability and Maintainability
- Elements of Partial Differential Equations
- Static and Dynamic Optimisation
Future career prospects
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.