Keele University

Degree level: Undergraduate

Mathematics (with Statistics)

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

At Keele University, we’re proud to be consistently ranked in the Top 3 UK universities for student satisfaction, which is testimony to the safe, supportive and welcoming campus we hope you’ll soon call home. On this course you will explore the beauty, elegance and practicality of statistics. Our specialisms in Mathematics allow you to tailor your degree to your particular interests or career aspirations and gain recognition of this in the title of your final award. This specialism has been designed for students who wish to develop the mathematical modelling skills underlying data analysis and treatment of uncertainty. You will establish a solid background in probability and statistics which will equip you with theoretical framework. This is complemented with training in statistical software and you will then be exposed to further applications in the following modules: Medical Statistics and Financial Mathematics. You will learn to use maths to develop precise and logical arguments, construct rigorous proofs, and formulate solutions to new problems. You will study in an intellectually stimulating environment amongst mathematicians producing world-leading research. There is an option to take this degree over four years, by adding a year studying abroad at one of our partner institutions – which could be anywhere from Australia to Finland, Japan or the USA. Our programmes are designed for students with varying education backgrounds and we have a multi-layered student support structure and provide rapid feedback on coursework. Please note: Course specialisms are subject to accreditation. Mathematics helps you to take novel approaches to problem solving and make critical interpretations of data and text; your skills will be in demand wherever there’s a need for logical thinking. An extremely wide range of career paths is open to mathematicians, where high levels of mathematical ability are desirable. This can include fields of work as diverse as finance, data analytics, teaching, engineering, medical statistics and management consultancy.

Course details

Modules

For a list of indicative and likely optional modules please visit the course website.


How to apply

Application codes

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

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/mathematicswithstatistics/#entry-requirements


Unistats information

Operated by the Office for Students
89%
Student satisfaction
50%
Employment after 15 months (Most common jobs)
82%
Go onto work and study

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Fees and funding

Tuition fees

EU £17000* Year 1
England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1
International £17000* Year 1

*This is a provisional fee and subject to change.

Additional fee information

This is a provisional fee and subject to change.

Provider information

Visit our website

Our COVID-19 information

Keele University
Keele
ST5 5BG


Clearing contact details

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Admissions

01782 491120

Course Clearing information

Additional information

From Monday 6 July: 9.00 am - 5.00 pm (weekdays only) Thursday 13 August: 8.00 am - 8.00 pm Friday 14 August: 8.30 am - 6.00 pm Saturday 15 August: 10.00 am - 4.30 pm Sunday 16 August: 10.00 am - 1.00 pm From Monday 17 August: 9.00 am - 5.00 pm ( weekdays only)


Course contact details

Visit our course page
Admissions

01782 734010

Mathematics (with Statistics) at Keele University - UCAS