| Unit code & Title | ANA302 - Customer Analytics |
| Pre-requisite | Not Applicable |
| Delivery modes | On-campus; Online; |
| Credit points | 10 |
| Study commitment | Average of 150 hours of teaching, learning and assessment over the trimester. |
| Scheduled learning (On-campus) | 2 × 3 hours on-campus seminar and tutorial weekly (for block mode) |
| Scheduled learning (AIA Online) | Recorded contents + 2 × 3 hour online seminar and tutorial weekly |
| Learning Outcomes |
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Consumer analytics or customer analytics is the use of analytics techniques to understand the composition, demands, satisfaction and behaviours of the customer, so that effective business decisions can be made through market segmentation and predictive analytics. The purpose of this unit is to equip the participants with the fundamental knowledge and skills of customer analytics with practical tools and case studies. Upon finishing this unit, students will be able to perform essential analytics tasks systematically to share critical insights, characteristics and trends of the customer to improve customer relationships and experiences, facilitate decision-making processes and contribute to business growth.
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit Current student page
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