Business Analytics and Management

Entry requirements

Degree classification

Bachelors degree - 2.1

Degree Subject

A social science degree (eg. economics, psychology, business, management, marketing, logistics and supply chain management or law), or a science discipline degree (eg. maths, physics, or computer science). You should feel comfortable with data handling and statistics.

For more information please see our website.

Months of entry

September

Course content

Do you want to play an important role in the data revolution? Data has emerged as a major source of value, but only for those organisations that can effectively capture, integrate and analyse it, turning valuable insights into impactful business decisions.

Our dynamic MSc Business Analytics and Management course will give you the skills and knowledge to manage the whole business analytics process, from data to decisions. You’ll explore technical and human resources and learn how to navigate and manage legal, regulatory and ethical challenges.

You’ll be prepared 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, including entrepreneurship and new firm formation. You’ll also have the option to do an industry placement, deliver a business sponsored project, or develop a business plan if you wish to start your own business.

Our 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 both governance and ethics, as well as the management of the underpinning resources and infrastructure.

Throughout the course, the focus is on practical application of skills. 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’ll 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.

Information for international students

For more information for international students, please go to UEA’s website.

Fees and funding

Find out more about UEA’s fees and funding options.