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Entry requirements for this course are normally:
- A BSc or BEng Honours degree (2:1 or above) in Mathematics, Physical Science, Computing, Engineering or a closely related discipline or an equivalent professional qualification.
- Applicants are expected to be familiar with and have some aptitude for Mathematics and basic statistical concepts and methods
- Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level - the qualification and experience should be in the area of Mathematics/Statistics
If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum of IELTS 7.0 overall with no element lower than 6.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.
Months of entry
This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering an additional 6 month placement opportunity, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.
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.
Fees and funding
Please check our website for fee information
Qualification, course duration and attendance options
- full time18 months
- Campus-based learningis available for this qualification
Course contact details
- +44 (0)1484 473116