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2022 unit information
Nil
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 1.5 hour class per week, 1 x 1.5 hour lab per week
11 x 1.5 hour class (recordings provided) + 11 X 1.5 hour online seminar
Students will learn how to apply models and metrics to gauge the effectiveness of a firm’s marketing activities, in terms of the customer management, market share analysis, product management and communication. This unit will cover application of analytics to customer profiling and predicting customer behaviour. The teaching materials are organized in a way that expose students to both theoretical and practical aspects of models and techniques.
Apply marketing metrics and models to analyse, interpret and compare data from a wide range of marketing activities
GLO1: Discipline-specific knowledge and capabilities
ULO2
Identify and solve authentic marketing problems using data analytics software
GLO1: Discipline-specific knowledge and capabilitiesGLO5: Problem solving
ULO3
Use computer software to analyse marketing data
GLO3: Digital literacy
ULO4
Develop, justify, and communicate findings and recommendations to key stakeholders
GLO1: Discipline-specific knowledge and capabilitiesGLO2: Communication
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement: students must achieve at least 50% of the marks available on the final exam.
The texts and reading list for the unit can be found on the University Library via the link below: MIS784 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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