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Master of Applied Analytics (MC-APPANA) // Course structure
About this course
- Overview
- Entry and participation requirements
- Attributes, outcomes and skills
- Course structure
- Majors, minors and specialisations
Contact
Melbourne School of Professional and Continuing Education
Further information: https://study.unimelb.edu.au/find/courses/graduate/master-of-applied-analytics
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Monday to Friday 8am to 9pm AEST/AEDT. Weekends and University of Melbourne observed Public Holidays 10am to 5pm AEST/AEDT.
Principal Coordinator
James Bailey
Course structure
The degree requires completion of 100 points, comprising six individual subjects plus a Capstone project.
MAST90130 Critical Thinking with Analytics must be undertaken as the first subject.
Students must complete 75 points of study, including MGMT90248 Analytics and Society before enrolling in the Applied Analytics Capstone.
The Applied Analytics Capstone is completed over two terms: students enrol in MGMT90250 Applied Analytics Capstone Part 1 and then in MGMT90251 Applied Analytics Capstone Part 2.
Students may complete the course with or without choosing a specialisation. Students may complete one of the following specialisations:
- Education Analytics
- Urban Analytics
- Health Analytics
- Psychology Analytics
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 |
MGMT90250 | Applied Analytics Capstone Part 1 | Not available in 2019 | 12.5 |
MGMT90251 | Applied Analytics Capstone Part 2 | Not available in 2019 | 12.5 |
Elective subjects
May be core subjects depending on specialisation chosen.
Code | Name | Study period | Credit Points |
---|---|---|---|
ABPL90407 | Representing Spatial Information | Not available in 2019 | 12.5 |
ABPL90408 | Spatial Analytics | Not available in 2019 | 12.5 |
MGMT90239 | Business Analytics for Decision Making |
Term 1 (Online)
Term 3 (Online)
|
12.5 |
MAST90131 | Measurement Analytics | Term 3 (Online) |
12.5 |
COMP90075 | Text Analytics | Term 4 (Online) |
12.5 |
COMP90076 | Social Analytics | Not available in 2019 | 12.5 |
PSYC90109 | Introduction to Experience Sampling | Term 2 (Online) |
12.5 |
MAST90135 | Foundations of Analytics | Term 4 (Online) |
12.5 |
POPH90295 | Designing Analytics Investigations | Not available in 2019 | 12.5 |
MAST90134 | Advanced Elements of Analytics | Not available in 2019 | 12.5 |
To complete the course without a specialisation:
50 points of electives (any four subjects chosen from the specialisations).
Last updated: 6 May 2024