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Graduate Diploma in Business Analytics (GD-BUSANA) // Course structure
You’re currently viewing the 2023 version of this course
About this course
Director
Simon Holcombe
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 |
BUSA90537 | Coding for Business Problems |
March (On Campus - Parkville)
July (On Campus - Parkville)
|
12.5 |
BUSA90538 | Decision Making and Optimisation |
March (On Campus - Parkville)
July (On Campus - Parkville)
|
12.5 |
BUSA90542 | Machine Learning & AI for Business | May (On Campus - Parkville) |
12.5 |
BUSA90541 | Predictive Business Analytics |
May (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
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 |
BUSA90544 | Marketing Analytics | October (On Campus - Parkville) |
12.5 |
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: 30 January 2024