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Master of Analytics Management (MC-ANAMGT) // Course structure

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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.

  1. Achieved a weighted average mark of at least H2B (70%) in a minimum of 6 subjects; and
  2. Had no more than one grade below 65 in the 6 subjects; and
  3. 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)
July (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)
July (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
BUSA90227 Operations
April (On Campus - Parkville)
April (On Campus - Parkville)
July (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
BUSA90093 Finance
January (On Campus - Parkville)
April (On Campus - Parkville)
July (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
BUSA90001 Financial Accounting
January (On Campus - Parkville)
April (On Campus - Parkville)
July (On Campus - Parkville)
September (On Campus - Parkville)
 12.5
BUSA90193 Managerial Economics
January (On Campus - Parkville)
April (On Campus - Parkville)
July (On Campus - Parkville)
September (On Campus - Parkville)
 12.5

Category 2: Analytics Foundations subjects

Code Name Study period Credit Points
BUSA90493 Business Analytics
July (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 in Data Driven Organisations
February (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 2024 12.5
FNCE90079 Finance and Accounting Analytics Not available in 2024 12.5
MKTG90039 Marketing Analytics
January (On Campus - Parkville)
October (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: 8 November 2024