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Master of Applied Data Analytics (MC-APPDA) // Course structure

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Course structure

All students must complete:

25 credit points of core subjects

50 credit points of elective subjects

25 credit points of capstone subjects

Subject options

Compulsory subjects

Code Name Study period Credit Points
MAST90130 Critical Thinking with Analytics
Term 1 (Online)
Term 3 (Online)
 12.5
MGMT90248 Analytics and Society
Term 2 (Online)
Term 4 (Online)
 12.5

Elective subjects

Code Name Study period Credit Points
ABPL90407 Representing Spatial Information
Term 1 (Online)
 12.5
ABPL90408 Spatial Analytics
Term 2 (Online)
 12.5
MGMT90239 Business Analytics for Decision Making
Term 1 (Online)
Term 3 (Online)
 12.5
MAST90131 Measurement Analytics
Term 3 (Online)
 12.5
COMP90076 Social Analytics
Term 1 (Online)
 12.5
MAST90135 Foundations of Analytics
Term 4 (Online)
 12.5
POPH90295 Designing Analytics Investigations Not available in 2023 12.5
MAST90134 Advanced Elements of Analytics Not available in 2023 12.5
POPH90144 Regression Methods in Health Research
July (Dual-Delivery - Parkville)
 12.5
POPH90014 Epidemiology 1
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
 12.5
PSYC90109 Introduction to Experience Sampling
Term 2 (Online)
 12.5

Casptone subjects

Code Name Study period Credit Points
MGMT90250 Applied Analytics Capstone Part 1
Term 3 (Online)
 12.5
MGMT90251 Applied Analytics Capstone Part 2
Term 4 (Online)
 12.5

Last updated: 11 September 2024