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2023 - 20242024 - 2025
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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

If the course start date is before 31 December 2023 and you have already submitted an application, this course can be added. If you have not submitted an application contact the university or college direct.

If the courses start date is between 01 January and 31 July 2024, click the 'Apply' button to make an application.

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14Oct
Keele University - Undergraduate Open Day
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15Oct
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18Nov
Keele University - Undergraduate Open Day
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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

From self-driving cars to e-business, the world is powered by AI and big data. Our industry-informed BSc Data Science will equip you with the skills to prepare for the career of the future. Why choose this course?

  • Blend strong theoretical foundations with practical applied knowledge in this cross-discipline degree
  • All necessary knowledge in mathematics, statistics and coding is provided within relevant modules
  • Put your learning into practice using real-world data in our cutting-edge laboratories
  • Personalise your degree with a variety of optional modules
  • Engage with our partners in industry to tackle real-world problems
The aim of our BSc in Data Science is to form graduates with sound mathematical fundamentals allied with comprehensive computational skills. Virtually every industry is looking to leverage the power of data to enhance the efficiency of their operations and drive innovation. This means graduates in Data Science are in extremely high demand. Our industry informed BSc assumes no prior knowledge of A level Mathematics or Statistics and provides a measured blend of theoretical knowledge and practical experience to ensure you graduate ready to apply your skills into the workplace or further study. The first year of the programme is carefully designed to bring everyone up to speed regardless of the previous learning experiences, enabling common understanding of the fundamental principles of Data Science. In later years, you will develop your skills and knowledge into new and exciting areas such as AI, data visualisation and deep learning. For example you will learn how to deal with uncertainties in large data sets and how to develop appropriate statistical models. 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

25Jan

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

Course code:
G420
Institution code:
K12
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

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

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-requirements

Unistats information

Operated by the Office for Students
52%
Student satisfaction
55%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please note, our fees for 2023 entry will be available soon. Although we review our fees annually and these may change, our 2022 entry fees are available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/

Provider information

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Our COVID-19 information

Keele University
Keele
ST5 5BG

Clearing contact details

Have your results? If so, enquire now.
Admissions

01782 491120

Course Clearing information

Additional information

From Wednesday 5 July: 9.00 am - 5.00 pm (weekdays only) Thursday 17 August: 8.00 am - 8.00 pm Friday 18 August: 8.30 am - 6.00 pm Saturday 19 August: 10.00 am - 3.00 pm Sunday 20 August: 10.00 am - 1.00 pm From Monday 21 August: 9.00 am - 5.00 pm ( weekdays only)

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Course contact details

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Data Science at Keele University - UCAS