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Professional Certificate in Business Analytics (PR-BUSANA) // Course structure
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) |
12.5 |
and
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90545 | Supply Chain Analytics | 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) |
12.5 |
and one of
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90541 | Predictive Business Analytics | May (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) |
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) |
12.5 |
BUSA90539 | Business Data Platforms | March (On Campus - Parkville) |
12.5 |
Last updated: 30 January 2024