Master of Statistics

Postgraduate

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Mode icon
Mode
On campus
Campus icon
Campus
Duration icon
Duration
2 year(s) full-time
Program code icon
Program code
MASTA
Study as icon
Study as
Full time or part time
Fees
Indicative annual fees
$36,300
SATAC code icon
SATAC code
Prerequisites icon
Prerequisite
None
Assumed knowledge icon
Assumed knowledge
Preparation for first year mathematics, equivalent to MATH1000 Foundations in Mathematics.

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.
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Note:

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.

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.

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
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Course name
Linear Algebra
Course code
MATHX104
Units
6
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Course name
Critical Evaluation in Data Science
Course code
MATHX106
Units
6
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Course name
Data Visualisation
Course code
MATHX314
Units
6
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Course name
Calculus for Statisticians
Course code
MATH5016
Units
6
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Course name
Probability and Statistical Theory
Course code
MATH5111
Units
6
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Course name
Probability and Statistics
Course code
STATX100
Units
6
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Course name
Statistical Methodology
Course code
STATX302
Units
6
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Course name
Design of Experiments
Course code
STATX500
Units
6
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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
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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
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Course name
Text and Social Media Analytics
Course code
COMPX300
Units
6
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Course name
Complex Networks
Course code
MATHX303
Units
6
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Course name
Time Series Analysis
Course code
MATHX313
Units
6
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Course name
Advanced Time Series
Course code
MATHX400
Units
6
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Course name
Bayesian Statistical Practice
Course code
STATX300
Units
6
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Course name
Data Science Practice
Course code
STATX301
Units
6
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Course name
Spatial Statistics
Course code
STATX401
Units
6
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Course name
Survey Statistics
Course code
STATX402
Units
6
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Course name
Causal Inference
Course code
STATX403
Units
6
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Course name
Introduction to Networks
Course code
MATHX102
Units
6
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Course name
Simulation for Decision Science
Course code
MATHX207
Units
6
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Course name
Predictive Analytics
Course code
STATX400
Units
6
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Course name
Project in Statistics 2
Course code
STAT6009
Units
12

Your program team

Dr Malgorzata Korolkiewicz

Program Director

College of Science

School of Mathematical Sciences

Explore Adelaide University

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