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Business Analytics at Keele University - UCAS

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

Course summary

Analytical skills, data analysis and cloud computing all feature within LinkedIn’s top 10 skills companies need most in 2023. Rapid development of the Internet and digital technologies has fuelled the demand to harness the power of the huge volume of available data now at an organisation’s disposal. Employers need people who can manage and make sense of data, providing insight and recommendations to improve future business performance. We are in the process of refreshing our curriculum for the 2025/26 academic year to reflect best practices and the latest advancements in academia. New course content and modules will be available on this course page in due course. Why choose this course?

  • Keele is part of a £13 million Office for Students initiative to accelerate the number and diversity of skilled AI and Data Science graduates.
  • Students can access our Bloomberg lab, and have the opportunity to undertake Bloomberg Market Concepts, (free of charge), the Harvard Business Review and undertake business simulation exercises.
  • Gain substantial practical experience by opting for a consultancy or work placement final project.
  • Taught by an international faculty who will share their internationally-recognised research in multidisciplinary AI and Data Analytics.
Combining leading expertise from across both Keele Business School and the School of Computer Science and Mathematics, our course will deepen your understanding of the technical and commercial implications of data-driven solutions. Business analysts guide businesses to improve their decisions, processes, products and services through data analysis – bridging the gap between IT and business to improve organisational performance, create efficiencies and add value to the business. Grounded in theory and practice, our MSc focuses on developing your understanding of business, management, data analytics and data science within a global context. 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 information regarding modules for this course, please visit the course page on the Keele University website.


Entry requirements

Typical offer: 2:2 degree in any subject


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

Information relating to the tuition fees and funding options for this course can be viewed on the Keele University website. https://www.keele.ac.uk/study/postgraduatestudy/tuitionfeesandfunding
Business Analytics at Keele University - UCAS