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Course summary

Overview Do you want to play a role in the data revolution? Data has been identified as a major source of value, but only for those organisations that can capture, integrate and analyse it, and apply the resulting knowledge to business decisions. This course will give you the skills and knowledge to manage the whole business analytics process, from data to decisions, including delivering the technical and human resources required and managing the legal, regulatory and ethical challenges that emerge. This course will prepare you for a wide range of roles in the new data economy, from management and leadership roles in major corporates, to consulting and contracting roles for organisations of all sizes, and even entrepreneurship and new firm formation. The course also provides you with the option to do a placement with a business, deliver a business sponsored project, or develop a business plan if you wish to start your own business. About This Course The course focuses on the management of the whole business analytics process, from the identification, integration and ‘cleansing’ of data, through various forms of data analysis, to the visualisation and presentation of results and their incorporation into decision-making. Throughout these stages, there is a strong focus on governance and ethics, on the one hand, and the management of the underpinning resources and infrastructure on the other. Throughout the course, the focus is on the practical application of the skills that you learn. Assessment is mainly based around business analytics projects that enable you to test your knowledge against authentic business problems, using real data and deploying cutting edge techniques. While a solid understanding of the application of data science techniques forms a major strand of the course, you will develop a much wider, critical understanding of data management, including the whole data life cycle – from creation and storage, through integration and manipulation, to deletion – and the use (and misuse) of data in decision-making. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website:


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Assessment method

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Entry requirements

DEGREE CLASSIFICATION: UK Bachelor degree - 2.1 or equivalent DEGREE SUBJECT: A social science degree (eg. economics, psychology, business, management, marketing, logistics and supply chain management or Law) with a substantial quantitative element, or a science discipline degree (eg. maths, physics, or computer science). Additionally, you will have a strong interest in data analysis and the use of analytics to resolve business and management problems. You should feel comfortable with data handling and statistics. You should also feel confident in your verbal and written communication using words, numbers, and images.

English language requirements

TestGradeAdditional details
IELTS (Academic)6with a minimum 6.0 in Writing & Speaking and 5.5 in Listening & Reading.

English Foreign Language: Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):   Test dates should be within 2 years of the course start date. We also accept a number of other English language tests. Review our English Language Equivalencies for a list of qualifications that we may accept to meet this requirement.

Fees and funding

Tuition fees

Channel Islands £12300* Whole course
England £12300* Whole course
Northern Ireland £12300* Whole course
Scotland £12300* Whole course
Wales £12300* Whole course
International £21200* Whole course

*This is a provisional fee and subject to change.

Additional fee information

Tuition fees are reviewed annually and subject to increase. Some fees are regulated by the UK government and will be changed in line with advice from them. For further information about additional costs for your course and information on fee status please see our website.
Business Analytics and Management at University of East Anglia UEA - UCAS