Course Level
Master Degree (By Coursework)
CRICOS
097058B
Master of Applied Data Analytics
The Master of Applied Data Analytics is a 1.5 year full time (or equivalent part time) degree that provides students with:; Exposure to best practice in data analytics.; Cutting edge courses in areas of relevance to data analytics practitioners.; An opportunity to deepen knowledge in one of the three areas of computation, statistics, or social science.; Professional development for practicing data analytics professionals.; The opportunity to undertake research of professional relevance.
Campus | Duration | Fees | ATAR |
|---|---|---|---|
Canberra | Full-time - 1.5 years | $59,888 | N/A |
Structure
The Master of Applied Data Analytics requires the completion of 72 units
Subjects
- COMP8410 Data Mining or COMP8910 Data Mining (Intensive)
- COMP8430 Data Wrangling or COMP8930 Data Wrangling (intensive)
- SOCR8201 Introduction to Social Science Methods and Types of Data
- SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
- STAT6038 Regression Modelling
- STAT6030 Generalised Linear Models
- STAT6026 Graphical Data Analysis
- STAT7055 Introductory Statistics for Business and Finance
- 6 units from completion of courses from the following list:
- COMP6240 Relational Databases
- COMP7240 Introduction to Database Concepts (intensive)
- 6 units from completion of courses from the following list:
- COMP6730 Programming for Scientists
- COMP7230 Introduction to Programming for Data Scientists (intensive)
- COMP8600 Statistical Machine Learning
- COMP8880 Computational Methods for Network Science
- COMP6490 Document Analysis or COMP6990 Document Analysis (intensive)
- COMP8420 Neural Networks, Deep Learning and Bio inspired Computing or COMP8920 Neural Networks, Deep Learning and Bio inspired Computing (intensive)
- SOCR8082 Social Research Practice
- SOCR8006 Online Research Methods
- SOCR8203 Advanced Techniques in the Creation of Social Science Data
- SOCR8204 Advanced Social Science Approaches to Inform Policy Development and Service Delivery
- STAT6016 Introduction to Bayesian Data Analysis
- STAT6039 Principles of Mathematical Statistics
- STAT6040 Statistical Learning
- STAT8002 Applied Time Series Analysis
Entry requirements
- Applicants must present one of the following:
- A Bachelor degree with Honours or international equivalent with a minimum GPA of 5.0/7.0
- A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least 3 years of relevant work experience