Customer Analytics in Large Organisations

Course aim

Apply analytic techniques to develop predictive models and behaviour pattern recognisers in the area of customer analytics.

Course content

Customer analytics: application of predictive modelling and behaviour pattern recognition techniques to perform customer base segmentation (breaking customers into groups with similar behaviour / propensity to buy / credit risk level / risk of committing fraud etc.) and predicting customer related outcomes (such as customer retention, response to marketing campaigns, present and future customer value etc)

Fraud and security analytics.

Credit Risk analytics.

Optimisation and Simulation.

Linear and non-linear programming.

Textbook(s)

Nil

Prerequisite(s)

Subject Area & Catalogue Number	Course Name
Group 1 Both courses:
INFS 5100	Predictive Analytics
INFS 5102	Unsupervised Methods in Analytics

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	1 hour x 12 weeks
INTERNAL, CITY WEST
Workshop (Face-to-face and/or virtual workshops, including small group work.)	2 hours x 13 weeks
Computer Practical	1 hour x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
External (On-line materials, on-line interactions with these material, weekly on-line computer practicals in a virtual machine environment, online interactions with the course coordinator and with other students, including through virtual workshops. )	N/A x N/A

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Problem solving exercise, Quantitative exercise

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.