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Data Science at Keele University - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Keele University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Course summary

With the increasing reliance on data-driven decision making across industries, data scientists are in high demand. Our industry-informed BSc blends theoretical foundations and practical experience with dedicated professional and employability modules to equip you with the statistical knowledge, technical, problem-solving, computational and communication skills to implement an ethical approach to analysing real-world data. Why choose this course?

  • Tailor your degree to your career aspirations by choosing from optional modules including cybersecurity, cryptography and medical statistics
  • Enhance your employability by learning to code in Python and R
  • Visualise data to tell compelling and actionable stories
  • Be career ready by gaining transferrable, professional and employability skills
  • Access a wide range of equipment including supercomputer facilities and a VR lab
Data Science at Keele offers a unique combination of robust mathematical and computational skills, including statistical techniques and extensive application of AI and machine learning, essential for success in the rapidly growing field of Data Science. Throughout the programme, you’ll engage with real-world scenarios to enhance your learning. An example of this can be found in year two where you will collaborate in groups for an extended time to analyse a business problem, conduct research, create reports, and present your findings to various audiences. You can also choose to spend time in industry with full time or modular placement opportunities, hear from industry guest speakers and develop invaluable professional and employability skills. In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to a technical, software, research or business problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management. About Keele Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university. We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level. Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.

Modules

For a list of indicative modules please visit the course page on the Keele University website.

How to apply

29Jan

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.

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/datascience/#entry-reqs

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please note, our fees for 2025 entry will be available soon. Although we review our fees annually and these may change, our 2024 entry fees are detailed on our course pages, and a summary is available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/
Data Science at Keele University - UCAS