Master of Analytics Management (MC-ANAMGT) // Course structure
Course structure
Students are required to achieve a grade of 70% minimum in Data Analysis to progress to Category 2 and Category 3 subjects and students cannot continue in the Master of Analytics Management course without meeting all the requirements below.
- Achieved a weighted average mark of at least H2B (70%) in a minimum of 6 subjects; and
- Had no more than one grade below 65 in the 6 subjects; and
- Had no fails in any of the 6 subjects
For students who do not meet the above requirements, they may exit the Master of Analytics Management course with an exit award if applicable.
Category 1: Foundation Management subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BUSA90060 | Data Analysis |
January (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
Plus any three of the following five subjects:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BUSA90243 | Marketing |
January (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
| BUSA90227 | Operations |
January (On Campus - Parkville)
April (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
| BUSA90093 | Finance |
January (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
| BUSA90001 | Financial Accounting |
January (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
| BUSA90193 | Managerial Economics |
January (On Campus - Parkville)
April (On Campus - Parkville)
June (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
Category 2: Analytics Foundations subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BUSA90493 | Business Analytics | June (On Campus - Parkville) |
12.5 |
| BISY90016 | Predictive Analytics | September (On Campus - Parkville) |
12.5 |
| BISY90017 | Quant. Decision Making & Optimisation | September (On Campus - Parkville) |
12.5 |
| MGMT90244 | Leading Data and AI Transformation | January (On Campus - Parkville) |
12.5 |
Category 3: Analytics Specialised subjects
Any two of the following three subjects:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BUSA90521 | Supply Chain Analytics | Not available in 2025 | 12.5 |
| FNCE90079 | Finance and Accounting Analytics | Not available in 2025 | 12.5 |
| MKTG90039 | Marketing Analytics | January (On Campus - Parkville) |
12.5 |
Category 4: Applied Analytics Lab Capstone
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| BUSA90522 | Applied Analytics Lab |
January (On Campus - Parkville)
April (On Campus - Parkville)
|
25 |
Last updated: 27 February 2025