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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.

What does this TEF outcome mean?

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Open days

21Jun
Keele University - Undergraduate Open Day
Undergraduate
22Jun
Keele University - Undergraduate Open Day
Undergraduate
17Aug
Keele University - Undergraduate Open Day
Undergraduate

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. This means you will not just be able to use the techniques in data science, but you will have a comprehensive understanding of the underpinning theories that support them. Our flexible curriculum also offers a wide variety of optional modules that on diverse topics from probability and statistical modelling to software engineering and web technologies. This will enable you to personalise your degree to suit your career aspirations. This optionality extends into year 3 with interesting applications of data science in modules like Bioinformatics, Game Theory and Medical Statistics. Core knowledge is also developed in new areas such as Data Mining and Machine Learning. In your final year you also will work on a project where you can unleash your creativity and apply the techniques you have acquired throughout your studies. Under the guidance of an experienced academic, you can choose your own topic or explore one of our research themes. 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

31Jan

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 see our website for our full range of entry 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

Additional fee information

Please note, our fees for 2024 entry will be available soon. Although we review our fees annually and these may change, our 2023 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