Created in collaboration with industry experts, our accredited course blends theory and real-world practice, developing your analytical skills and the capacity to apply your knowledge to problems in a wide range of business contexts. You will build your problem-solving abilities using logic and creativity, working with sophisticated mathematical and statistical software such as Maple, MATLAB, SPSS, Lindo, R and SAS. Supported by your lecturers and fellow students you will learn independently and in small groups in a close-knit working environment. You will develop your understanding of technical maths and the ability to communicate complex ideas in a clear way to non-specialists. And you will apply mathematical techniques to real-world scenarios and data sets and can choose to put learning into practice on placement or in a school classroom. This course is accredited by the Institute of Mathematics and its Applications (IMA). We also offer Mathematics MMath or Mathematics for Data Science MMath. These are integrated masters courses which give you an extra year of study at postgraduate level.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
English language requirements
|IELTS (Academic)||6||6.0 overall with a minimum of 5.5. in each element, or equivalent English Language qualification.|
Review our English Language requirements
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
|Northern Ireland||£9250||Year 1|
|Channel Islands||£9250||Year 1|
|Republic of Ireland||£9250||Year 1|
Additional fee information
University of Brighton
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Course contact detailsVisit our course page