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Professional Certificate in Business Analytics (PR-BUSANA) // Course structure
You’re currently viewing the 2023 version of this course
About this course
Director
Simon Holcombe
Course structure
Students need to complete 25 credit points to complete this course.
Stream A (1):
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90538 | Decision Making and Optimisation |
March (On Campus - Parkville)
July (On Campus - Parkville)
|
12.5 |
and
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90545 | Supply Chain Analytics |
September (On Campus - Parkville)
October (On Campus - Parkville)
|
12.5 |
Stream B (2 & 3):
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90536 | Statistical Learning for Business |
March (On Campus - Parkville)
July (On Campus - Parkville)
|
12.5 |
and one of
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90541 | Predictive Business Analytics |
May (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
BUSA90540 | Causal Analytics for Business | May (On Campus - Parkville) |
12.5 |
Stream C (4, 5 & 6):
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90537 | Coding for Business Problems |
March (On Campus - Parkville)
July (On Campus - Parkville)
|
12.5 |
and one of
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90542 | Machine Learning & AI for Business | May (On Campus - Parkville) |
12.5 |
BUSA90543 | Text Analytics for Business |
May (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
BUSA90539 | Business Data Platforms |
March (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
Last updated: 30 January 2024