Business Analytics at Keele University - UCAS

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Course summary

Business analysis, analytical reasoning, AI and cloud computing all feature within LinkedIn’s top 10 skills companies need most in 2020. 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. Why choose this course?

  • Keele is ranked 3rd in the UK for business by the Postgraduate Taught Experience Survey (PTES 2019)
  • 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 have the opportunity to access our Bloomberg Lab and complete the Bloomberg Market Concepts (BMC), free of charge
  • 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. With unique access to the combined expertise across Keele Business School and the School of Computer Science and Mathematics, you’ll gain a deeper insight into how businesses run their operations within today’s challenging economy. At the same time developing the technical skills and knowhow to identify, manage and analyse the most appropriate data sources to evaluate their performance. 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

Undergraduate degree in any subject with second class lower (2:2) or an international equivalent. We will also consider students with equivalent industrial work experience. English Language Entry Requirement for International Students: IELTS 6.5 with a minimum of 5.5 in each component. The University also accepts a range of internationally recognised English tests. If you do not meet the English language requirements, the University offers a range of English language preparation programmes. During your degree programme you can study additional English language courses. This means you can continue to improve your English language skills and gain a higher level of English.


Fees and funding

Tuition fees

No fee information has been provided for this course

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