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Graduate Diploma in Business Analytics (GD-BUSANA) // Course structure

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Course structure

Core subjects:

Code Name Study period Credit Points
BUSA90536 Statistical Learning for Business
March (On Campus - Parkville)
July (On Campus - Parkville)
 12.5
BUSA90540 Causal Analytics for Business
May (On Campus - Parkville)
 12.5

Selective Core subjects Group 1:

50 credit points from the following subjects:

Code Name Study period Credit Points
BUSA90539 Business Data Platforms
March (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90537 Coding for Business Problems
March (On Campus - Parkville)
July (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90538 Decision Making and Optimisation
March (On Campus - Parkville)
July (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
BUSA90541 Predictive Business Analytics
May (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
 
Code Name Study period Credit Points
BUSA90543 Text Analytics for Business
May (On Campus - Parkville)
September (On Campus - Parkville)
 12.5

Selective Core subjects Group 2:

25 credit points from the following subjects:

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

(Note: BUSA90545 Supply Chain Analytics's prerequisite subject is BUSA90538 Decision Making and Optimisation.)

Last updated: 19 November 2025