| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor and lecturer
Syed Rahman
Contact via syed.rahman@mq.edu.au
Room 213, 4 Eastern Road (4ER)
Thursday 10-11am
Tutor
Alex Mironov
Contact via alex.mironov@mq.edu.au
Email to book a time.
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|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
130 cp at 1000 level or above including MKTG2002
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
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| Unit description |
Unit description
The marketing media landscape has changed drastically over the past decade. The rise of new media such as digital and social media has changed the ways in which companies communicate and interact with consumers. More importantly, it opens new channels that allow companies to gain immediate and strategic insights into consumer trends and their target market. As such, a company’s ability to transform data generated from various traditional and new media sources into business insights creates a competitive advantage to ensure their survival and prosperity.
This unit enables students to develop a knowledge of the trends changing the current marketing media landscape. Students will learn how to use different analytic software packages, such as SAS and Excel, to analyse both structured and unstructured data that are produced by various marketing media sources. Student also will learn how to transform results into actionable insights and will develop an ability to communicate and explain their insights in an engaging and effective way.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Late Submission Penalties
If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days. Submissions more than 7 days late will receive a mark of 0.
Example 1 (out of 100): If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.
Example 2 (out of 30): If you score 27/30 but submit 20 hours late, you will lose 1.5 marks and receive 25.5/30.
Extensions
Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.
Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration. Need help? Review the Special Consideration page for further details.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Skills development: Marketing insights in practice | 20% | No | 18/05/2026 | Individual | Yes | Open AI |
| Professional practice: Voice of customers | 40% | No | 20/04/2026 | Individual | Yes | Open AI |
| Professional practice: Evidence-based decisions in marketing | 40% | No | 01/06/2026 | Individual | Yes | Open AI |
Assessment Type 1: Portfolio
Indicative Time on Task 2: 12 hours
Due: 18/05/2026
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI
Assessment Type 1: Professional task
Indicative Time on Task 2: 24 hours
Due: 20/04/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI
Assessment Type 1: Professional task
Indicative Time on Task 2: 24 hours
Due: 01/06/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open AI
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
This unit will be delivered in face-to-face mode.
1-hour online recorded lecture on a weekly basis, plus a 2 hour face-to-face weekly tutorial on campus.
The timetable for classes can be found on the University website at: http://www.timetables.mq.edu.au.
Students are expected to review the lecture material, complete the readings, watch any video content and prepare the discussion questions in advance of the weekly tutorial.
Successful completion of this unit requires the student to submit all assessment tasks and achieve at least 50% in total.
Access to a personal computer, internet, Microsoft Excel, Microsoft Word, and Microsoft Powerpoint is required to complete learning activities and assessment tasks.
Throughout the semester, a combination of selected chapters from different textbooks, journal articles, and online materials (e.g. links to websites, online videos) will be used as learning resources. Following is the list of key required reading/viewing resources; details of learning materials for each week will be available in iLearn.
Books:
Katz, H. (2016). The media handbook: A complete guide to advertising media selection, planning, research, and buying. Routledge. (Chapter 1 & 7; MQ library eBook access)
Journal articles:
Berger, J., Humphreys, A., Ludwig, S., Moe, W. W., Netzer, O., & Schweidel, D. A. (2020). Uniting the tribes: Using text for marketing insight. Journal of Marketing, 84(1), 1-25. https://journals.sagepub.com/doi/full/10.1177/0022242919873106
Kunz, W., Aksoy, L., Bart, Y., Heinonen, K., Kabadayi, S., Ordenes, F. V., ... & Theodoulidis, B. (2017). Customer engagement in a big data world. Journal of Services Marketing https://www.emerald.com/insight/content/doi/10.1108/JSM-10-2016-0352
Iacobucci, D., Petrescu, M., Krishen, A., & Bendixen, M. (2019). The state of marketing analytics in research and practice. Journal of Marketing Analytics, 7(3), 152-181. https://link.springer.com/article/10.1057/s41270-019-00059-2
Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121. https://journals.sagepub.com/doi/pdf/10.1509/jm.15.0413
Online resources:
Essential data analytics terms https://www.business.com/articles/30-essential-data-analytics-terms-every-marketer-should-know/
Marketing analytics: What it is and why it matters https://www.sas.com/cs_cz/insights/marketing/marketing-analytics.html
SAS Contextual Analysis user guide https://support.sas.com/documentation/onlinedoc/ca/14.2/utaqsug.pdf
MOZ keyword research: The beginner's Guide https://moz.com/beginners-guide-to-seo/keyword-research
SAS Visual Analytics tutorials https://video.sas.com/category/videos/sas-visual-analytics_
Google Analytics for beginners https://analytics.google.com/analytics/academy/course/6
How to use Google Keyword planner https://ahrefs.com/blog/google-keyword-planner/
Facebook Page Insights https://www.facebook.com/business/help/633309530105735
MOZ SEO analysis guide https://moz.com/seo-competitor-analysis
Please refer to iLearn.
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2026.02 of the Handbook