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  • DeadlineStudy Details: PGDip 2 years online

Course Description

Learn to transform data into insights – and transform your career
As big data powers more aspects of industry and society, demand is rising for professionals with the expertise and technical know-how to harness business analytics.

Develop foundational knowledge of concepts and software for capturing insights that improve decision-making and performance for UK organisations by pursuing your Postgraduate Diploma (PGDip) in Business Analytics online.

Our online PGDip course focuses on business analytics tools and techniques for analysing data to solve challenges and unlock new opportunities. You'll take 12 units from our complete master's degree course as you learn to identify data patterns and trends, leverage machine learning capabilities, gather business intelligence, and more.

Course benefits

Capitalise on the prestige of a PGDip in Business Analytics offered by a top-ten university in the UK.1 There is no dissertation requirement, and our partnerships provide hands-on experience with next-level software and resources. After completing the course, you'll have the option to level up your credentials by seeking your Master of Science in Business Analytics degree.

Learning outcomes

  • Demonstrate a systematic and thorough understanding of contemporary methods and practices related to business analytics and their consequences in the wider and international context
  • Analyse, interpret, and present multidimensional and complex data
  • Identify operational, tactical, and strategic level resource management problems and the appropriate amount of detail to analyse based on the level
  • Frame managerial problems as mathematical problems and have an appreciation of which methods might be used for solutions
  • Appreciate ethical dilemmas arising in data acquisition, management, and mining
  • Acquire expert skills in using spreadsheet software
  • Use state-of-the-art business analytics software
  • Develop written communication skills for effectively presenting technical results to non-technical audiences
  • Improve your time management skills and apply your problem-solving skills to diverse areas

Entry Requirements

Typically, you should have a first or second class bachelor's honours degree or international equivalent.

To apply for this course, you must have an undergraduate degree in a subject with high quantitative content such as mathematics/statistics, computer science, engineering, physics, chemistry, biology, economics, or a quantitative social science. We may consider other subjects if they have enough quantitative content.

Previous experience of computer programming is an advantage. You should include information about your quantitative and programming experience in your personal statement.

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Fees

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