Study Business Analytics online PGDip at University of Bath Online in the UK, Management

Business Analytics online PGDip

UK

5

What will I learn?

Learn to transform data into insights with the post graduate diploma in business analytics


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 Post Graduate Diploma in Business Analytics online (PGDip).


Our online PGDip course focuses on business analytics tools and techniques for analysing data to solve challenges and unlock new opportunities. The course comprises 120 credits from our complete master's degree. You will study units such as Data Mining, Machine Learning, Analytics in Practice, and Project Management, and select two optional units from a choice of four. As you progress, you will apply these principles to analyse business situations, helping you optimise your own business decisions while gaining practical experience in areas such as machine learning, data mining, and analytics in practice.

Which department am I in?

Management

Study options

Online/Distance with attendance (2 Years)

Tuition fees
£4,998.00 (US$ 6,455) per year
Our online PGDip Business Analytics course costs £833 per 10 credits. Fees are paid in unit instalments corresponding with the course units. The total cost of this 120 credit PGDip course is £9,996. 10% alumni discount available.

This is a provisional fee yet to be approved
Start date

September 2026

Venue

Online

Claverton Down,

Bath,

Somerset,

BA2 7AY, Southern England, United Kingdom

Entry requirements

For international students

If you do have a degree: Typically, you should have a first or second class bachelors honours degree or international equivalent. 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.

If you dont have a degree: We will consider candidates who dont hold a degree but do have relevant professional work experience or alternative qualifications. Please reach out to our team for more information.

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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