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Big Data Analytics in Marketing
A full-time study load usually consists of 200 credits (approximately eight units) per year, with 100 credits (approximately four units) in each semester.
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This unit focuses on the application of big data analytics to inform the development of marketing strategies and customer relationship management. Students will gain insights into the concepts and techniques involved in capturing, storing, learning, manipulating, analysing and visualizing big data in marketing. The unit will equip students with the ability to use visual analytics and predictive models to develop forward-looking, what-if scenarios. It will enable students to apply appropriate and effective analytics processes to answer strategic marketing questions in order to contribute to a company’s desired marketing objectives.
What you'll learn
- critique suitability of big data sources to address contemporary marketing issues
- formulate what-if scenarios and devise optimal solutions for marketing and customer relationship management using big data
- implement big data analytics in marketing
- devise marketing insights and design marketing strategies based on marketing big data
At Curtin, we understand that everyone’s study journey has been different.
You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.
If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.
A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.
CRL is also known as recognition of prior learning, advanced standing and credit transfer.
Use the CRL search to find out how much CRL you qualify for, or contact us at:
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- Curtin course code: MKTG6012
- Last updated on: June 16, 2022