Entry requirements
Admission criteria
To be eligible, an applicant must have achieved the following minimum entry requirement and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
- A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent from a recognised higher education institution.
This program is not currently accepting applications.
Degree Structure: Master of Statistics
Program code: MASTA
Complete 96 units comprising:
- 54 units for all Core courses, and
- 12 units for all Work integrated learning, and
- 30 units for Electives
Study plan
A study plan sets out the courses you will need to complete and the recommended timing for each one. This will help to guide your enrolment in each study period, alongside any additional information provided below. If you have received a personalised plan or alternative advice from your Program Director, please refer to that guidance in the first instance, or seek help from your Program Director or Student Assist if you are unsure.
Year 1
Semester 1
Semester 2
Year 2
Semester 1
Semester 2
Enrolment information
Find details about the rules and notes that apply to your program, along with other essential information required for successful enrolment. Supplementary supporting resources may also be provided where applicable.
Some programs include additional enrolment advice. If available for your program, it will be displayed here.
Courses
Listed here are all the courses that contribute to your program, including elective options that can be chosen. These courses come together to form your study plan. Courses fall into different categories, each of which have specific unit values that need to be met under the program rules.
What courses you'll study
Complete 96 units comprising:
- 54 units for all Core courses, and
- 12 units for all Work integrated learning, and
- 30 units for Electives
Complete 54 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
|
Course name
Calculus for Statisticians
|
Course code
MATH5016
|
Units
6
|
|
|
Course name
Probability and Statistical Theory
|
Course code
MATH5111
|
Units
6
|
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
|
|
Course name
Statistical Methodology
|
Course code
STATX302
|
Units
6
|
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
|
|
Course name
Statistical Practice
|
Course code
STATX290
|
Units
6
|
|
Work Integrated Learning description
WIL courses give you real‑world experience as part of your degree.
Complete 12 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
Project in Statistics 1
|
Course code
STAT6800
|
Units
12
|
|
Electives description
A flexible course choice within your degree.
Complete 30 units comprising:
- 30 units from Program electives
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
|
Course name
Complex Networks
|
Course code
MATHX303
|
Units
6
|
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
|
Course name
Advanced Time Series
|
Course code
MATHX400
|
Units
6
|
|
|
Course name
Bayesian Statistical Practice
|
Course code
STATX300
|
Units
6
|
|
|
Course name
Data Science Practice
|
Course code
STATX301
|
Units
6
|
|
|
Course name
Spatial Statistics
|
Course code
STATX401
|
Units
6
|
|
|
Course name
Survey Statistics
|
Course code
STATX402
|
Units
6
|
|
|
Course name
Causal Inference
|
Course code
STATX403
|
Units
6
|
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
|
Course name
Simulation for Decision Science
|
Course code
MATHX207
|
Units
6
|
|
|
Course name
Predictive Analytics
|
Course code
STATX400
|
Units
6
|
|
|
Course name
Project in Statistics 2
|
Course code
STAT6009
|
Units
12
|