Late assessment submissions must also be submitted through the appropriate submission link in iLearn. No extensions will be granted unless an application for Special Consideration is made and approved. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late. Late submissions will not be accepted after solutions have been discussed and/or made available.

Note: applications for Special Consideration Policy must be made within 5 (five) business days of the due date and time.

Classes

• 3 hours face-to-face teaching per week consisting of: 1 × 1.5-hour lecture and 1 × 1.5-hour tutorial (lab session). Tutorials commence in Week 2.
• The timetable for classes can be found on the university website at: http://timetable.mq.edu.au

Required and Recommended Texts and/or Materials

Prescribed text:

Farris, P., Bendle, N., Pfeifer, P.E. and Reibstein, D.J. (2015) Marketing Metrics: The Manager's Guide to Measuring Marketing Performance. Pearson. ISBN: 978-0-13-408596-8

Recommended text:

Winston, Wayne L. (2014) Marketing Analytics: Data-Driven Techniques with Microsoft Excel. Wiley ISBN: 978-1-118-37343-9

Grigsby, M. (2015) Marketing Analytics: A Practical Guide to Real Marketing Science. Kogan Page ISBN: 9780749474171

Unit Web Page

• The web page for this unit can be found at: iLearn http://ilearn.mq.edu.au
• All announcements and resources will be available on the web site. Resource materials include lecture slides, practice questions, case studies and practice exam questions for both the within-semester and final exams. There is also a forum for student interaction and contact with faculty. You should consult the course Website several times per week for messages and updates.

​Teaching and Learning Strategy

This unit is aimed at students who have developed higher levels of strategic insight and who desire improved skills in data manipulation, analysis and presentation. This is a predominantly applied course, designed to provide students with technical and analytical skills. Lecture attendance is critical, as it is only by attending lectures that students will understand the concepts used in tutorials. Tutorials are held in PC Labs and provide an opportunity to practice analytics hands-on using MS-Excel and Tableau software. The limited face-to-face time in class is not sufficient to learn all that we will need to develop some competence in the software and methods discussed and examined. Students will need to practice and research outside of the classroom.

Satisfactory Completion of Unit

It is normally expected that students attempt all assessment tasks for this unit. Students are required to accumulate at least 50% of the total marks possible in order to satisfactorily pass this unit.

Refer to iLearn http://ilearn.mq.edu.au

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