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Learning Outcomes

1.
Teamwork: Our graduates will work collaboratively in teams composed of individuals from different backgrounds (e.g. business, computer science, statistics, engineering).
  • Leaders
  • Global Citizens
2.
Critical thinking; Technical skill: Our graduates will critically think to make actionable marketing decision using both data evidence and marketing models.
  • Scholars
  • Professionals
  • Leaders
3.
Ethical, social and environmental responsibility: Our graduates will know the ethical, social, cultural and environmental implications in implementing the results of marketing analytics and use consumer's personal data and marketing technology in an ethically right manner.
  • Global Citizens
  • Professionals
4.
Disciplinary Knowledge; Our graduates will have integrated knowledge between the principles of marketing and data analytics.
  • Leaders
  • Scholars
5.
Communication: Our graduates will ask right questions to identify marketing problems and clearly and effectively communicate the business value of the result of marketing analytics in oral and written format using data visualization
  • Leaders
  • Scholars
  • Professionals

Graduate Capabilities

For more information on Graduate Capabilities please click on this link

Available in Program(s)
Single degree program(s) in which this specialisation is available:

Master of Commerce - MCom8404 - Commerce
Master of Commerce (Extension) - MCom(Extn)8417 - Commerce (Extension)

Specialisation Structure
36 Units of Credit:

Students must complete 36 UOC.

Gateway Core Course

Students must take 6 UOC of the following courses.

MARK5700
6 UOC
Elements of Marketing

Specialisation Courses

Students must take 30 UOC of the following courses.

MARK5814
6 UOC
Digital Marketing
MARK5822
6 UOC
Marketing Analytics in a Big Data World
MARK5826
6 UOC
Product Analytics
MARK5827
6 UOC
Customer Analytics
MARK5828
6 UOC
Advertising Analytics

Free Elective Courses

Students may take one course (6 UOC) from the courses listed below or from other MCom elective lists.Visualization- HDAT 9800 Visualisation and Communication of Health Data (6 UOC)Programming- COMP 9021 Principles of Programming (Python) (6 UOC)- BENV 7500 Programmable Cities (Python) (6 UOC)Business Analytics- INFS 5720 Business Analytics Methods (6 … For more content click the Read More button below.

Enrolment Disclaimer

Please note that this Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions