Course structure: Master of Business Analytics (MC-BUSANA)

Course structure

Code	Name	Study period	Credit Points
BUSA90539	Business Data Platforms	March (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90537	Coding for Business Problems	March (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90538	Decision Making and Optimisation	March (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90536	Statistical Learning for Business	March (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90542	Machine Learning & AI for Business	May (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90540	Causal Analytics for Business	May (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90541	Predictive Business Analytics	May (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90543	Text Analytics for Business	May (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90544	Marketing Analytics	October (On Campus - Parkville)	12.5

Code	Name	Study period	Credit Points
BUSA90545	Supply Chain Analytics	October (On Campus - Parkville)	12.5

Capstone subjects:

Standard pathway

Code	Name	Study period	Credit Points
BUSA90546	Risk Analytics	October (On Campus - Parkville)	12.5

And

Code	Name	Study period	Credit Points
BUSA90547	Applied Business Analytics	Not available in 2024	12.5

* (part-time)

Code	Name	Study period	Credit Points
BUSA90550	Prof Development & Application I	January (On Campus - Parkville)	6.25

Code	Name	Study period	Credit Points
BUSA90551	Prof Development & Application II	August (On Campus - Parkville)	6.25

* (full-time)

Research pathway

Code	Name	Study period	Credit Points
BUSA90504	Individual Research Project	August (On Campus - Parkville)	25

*Note: Students who would like to take Research Pathway are required to acquire the approval of course coordinator prior to enrolment.

Last updated: 30 January 2024