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Data Science

3 Study options · UndergraduateMain Site

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.

How to apply

Application codes

Course code:
G420
Institution code:
K12

This course may be available at alternative locations, please check if other course options are available.

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Data from:
This course and 18 other computing courses
Date range:
2022-2024

Offer rate for UK school & college leavers

95% Students aged 17/18 who applied to this course were offered a place.

This course has a required grade that may not be listed in the data. Check the entry requirements for the full qualification requirements.

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See how students with your grades have been accepted onto this course in the past.

Fees and funding

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