| Type: | Postgraduate Subject |
|---|---|
| Code: | MKTG71-315 |
| EFTSL: | 0.125 |
| Faculty: | Bond Business School |
| Semesters offered: |
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| Credit: | 10 |
| Study areas: |
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| Subject fees: |
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Description
This subject enables students to apply appropriate marketing analytical tools and techniques to address a range of marketing challenges. Importantly, it will also highlight the role and importance of marketing analytics to support a data-driven approach to marketing strategy and decision making. Through a variety of applied activities and assignments, students will have the opportunity to develop a thorough conceptual understanding of marketing analytics and its applications.
Subject details
Learning outcomes
- Demonstrate advanced knowledge of marketing analytics and its role and importance in supporting marketing strategy.
- Apply appropriate analytical tools including cluster analysis, regression analysis, survey design and testing, conjoint analysis, and experiments to understand complex marketing problems and generate insights.
- Collaborate with others in a team project to select and use appropriate analytical tools to solve complex marketing problems.
- Communicate data-driven insights and formulate managerial recommendations in a professionally written, clear, and concise strategic marketing report suitable for submission to executive level marketing professionals.
Enrolment requirements
| Requisites: |
Nil |
|---|---|
| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge. Assumed Prior Learning (or equivalent): |
| Restrictions: |
Nil |
Subject outlines
Subject dates
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September 2023
Standard Offering Enrolment opens: 16/07/2023 Semester start: 11/09/2023 Subject start: 11/09/2023 Cancellation 1: 25/09/2023 Cancellation 2: 02/10/2023 Last enrolment: 24/09/2023 Withdraw - Financial: 07/10/2023 Withdraw - Academic: 28/10/2023 Teaching census: 06/10/2023
| Standard Offering | |
|---|---|
| Enrolment opens: | 16/07/2023 |
| Semester start: | 11/09/2023 |
| Subject start: | 11/09/2023 |
| Cancellation 1: | 25/09/2023 |
| Cancellation 2: | 02/10/2023 |
| Last enrolment: | 24/09/2023 |
| Withdraw - Financial: | 07/10/2023 |
| Withdraw - Academic: | 28/10/2023 |
| Teaching census: | 06/10/2023 |