Data Analytics
Unit of study table
| This page was first published on 15 November 2023 and was last amended on 1 May 2024. View details of the changes below. |
|---|
Master of Data Analytics |
|---|
| To qualify for the award of the Master of Data Analytics, a candidate must complete 72 credit points, comprising: |
| (i) 42 credit points of core units |
| (ii) 24 credit points of selective units |
| (iii) 6 credit points of capstone units |
Graduate Diploma in Data Analytics |
| To qualify for the award of the Graduate Diploma in Data Analytics, a candidate must complete 48 credit points, comprising: |
| (i) a minimum of 36 credit points of core units |
| (ii) a maximum of 12 credit points of selective units |
Graduate Certificate in Data Analytics |
| To qualify for the award of the Graduate Diploma in Data Analytics, a candidate must complete 24 credit points, comprising: |
| (i) 24 credit points of core units |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
||
|---|---|---|---|---|
Master of Data Analytics |
||||
Core |
||||
| ODAT5011 Data Analytics Foundations |
6 | |||
| ODAT5012 Data Visualisation and Communication |
6 | |||
| ODAT5013 Data Wrangling and Databases |
6 | |||
| ODAT5014 Data Governance and Ethics |
6 | |||
| ODAT5021 Experimental Design and Analysis |
6 | |||
| ODAT5022 Predictive Analytics |
6 | |||
| OSTA5003 Computational Statistical Methods |
6 | |||
Selective Units |
||||
| ODAT5031 Modelling Complex Data Structures |
6 | |||
| ODAT5032 Data to Decisions |
6 | |||
| OCMP5048 Visual Analytics |
6 | |||
| OECO5017 Causal Inference |
6 | |||
| OCMP5318 Machine Learning and Data Mining |
6 | |||
| OCMP5338 Advanced Data Models |
6 | |||
| OCMP5328 Advanced Machine Learning |
6 | |||
| OCMP5329 Deep Learning |
6 | |||
Capstone |
||||
| ODAT5888 Data Sleuthing |
6 | |||
Graduate Diploma of Data Analytics |
||||
Core |
||||
| ODAT5011 Data Analytics Foundations |
6 | |||
| ODAT5012 Data Visualisation and Communication |
6 | |||
| ODAT5013 Data Wrangling and Databases |
6 | |||
| ODAT5014 Data Governance and Ethics |
6 | |||
| ODAT5021 Experimental Design and Analysis |
6 | |||
| ODAT5022 Predictive Analytics |
6 | |||
Selective |
||||
| OSTA5003 Computational Statistical Methods |
6 | |||
| ODAT5031 Modelling Complex Data Structures |
6 | |||
| ODAT5032 Data to Decisions |
6 | |||
| ODAT5888 Data Sleuthing |
6 | |||
| OCMP5048 Visual analytics |
6 | |||
| OECO5017 Causal inference |
6 | |||
| OCMP5318 Machine Learning and Data Mining |
6 | |||
| OCMP5338 Advanced Data Models |
6 | |||
| OCMP5328 Advanced Machine Learning |
6 | |||
| OCMP5329 Deep Learning |
6 | |||
Graduate Certificate of Data Analytics |
||||
Core Units |
||||
| ODAT5011 Data Analytics Foundations |
6 | |||
| ODAT5012 Data Visualisation and Communication |
6 | |||
| ODAT5013 Data Wrangling and Databases |
6 | |||
| ODAT5014 Data Governance and Ethics |
6 | |||
Post-publication amendments
