国际学生入学条件
Students need to have UK Bachelors degree - 2.2 or equivalent in 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.
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IDP—雅思考试联合主办方

雅思考试总分
6.0
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- 雅思总分:6
- 托福网考总分:79
- 托福笔试总分:160
- 其他语言考试:Pearson Academic English - 64 overall with minimum of 59 in only two components and 64 in the others
课程简介
The 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.
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