Master of Statistics

at University of New South Wales

Program structure
This degree covers a range of statistical theory and practice and provides advanced training in the principles of mathematics and statistical analysis. In addition, the program provides the necessary preparation for further research in statistics. 

Full program structure
The Master of Statistics can be completed in 1.7 years of full-time study. The program is made up of 10 courses, including two core courses and eight electives. You’ll also complete a compulsory supervised research project.

Research project
 

• You can choose to take the MATH5925 Project in one term, or the Advanced Mathematics Project A (MATH5005) and Advanced Mathematics Project B (MATH5006) over two consecutive terms. 

Core courses
 

• Advanced Stochastic Processes
• Statistical Inference

Elective courses

You’ll complete eight courses from the following list of electives.
 

• Optimisation
• Special Topics in Applied Mathematics A
• Special Topics in Applied Mathematics B
• Fluids, Oceans and Climate
• Special Topics in Applied Mathematics D
• Computational Mathematics for Science and Engineering
• Computational Mathematics for Finance
• Graph Theory
• Combinatorics
• Special Topics in Pure Mathematics A
• Special Topics in Pure Mathematics B
• Special Topics in Pure Mathematics C
• Functional Analysis
• Banach and Operator Algebras
• Number Theory
• Algebraic Topology
• Complex Analysis
• Modern Analysis
• Harmonic Analysis
• Galois Theory
• Modules and Representation Theory
• Special Topics in Statistics
• Applied Regression Analysis
• Continuous Time Financial Modelling
• Measure, Integration and Probability
• Statistical Methods in Epidemiology
• Advanced Stochastic Processes
• Data Mining and its Business Applications
• Time Series
• Survival Analysis
• Multivariate Analysis
• Longitudinal Data Analysis
• Nonparametric Statistics
• Statistical Inference
• Design & Analysis of Clinical Trials
• Categorical Data Analysis
• Bayesian Inference and Computation
• Discrete Time Financial Modelling
• Introduction to Stochastic Analysis

Entry requirements

For entry into this degree, you must have both:
 

• Bachelor of Mathematics or Bachelor of Science degree with a major in mathematics and statistics
• sufficient mathematical and/or statistical background, as indicated by a minimum weighted average mark (WAM) of 65 or above in level III mathematics and/or statistics university courses.

In addition, you must have permission of the Head of School or Nominee to be admitted into the program.

Check the specific English language requirements for this program

Fees & Scholarships

2022 Indicative First Year Fee
$46,725*

2022 Indicative Fee to Complete Degree
$70,685*

*Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year. The indicative fees listed here are based on an estimated average and are for tuition only other fees and charges are not included. The amount you pay will vary depending on the calendar year to enrol, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (8 courses per year).

Future careers
 

• Statisticians are trained to think logically and to approach problems in analytical and creative ways. Studying statistics prepares you for a wide variety of careers because it provides you with the problem-solving, computing and communication skills that employers want.
• This degree opens up career opportunities in areas as diverse as banking, insurance and investment, environmental modelling, oceanography, meteorology, computing, information technology, government or education. 
• Academic and research positions within universities, the CSIRO and the Defence Science and Technology Organisation are available for those with the drive to discover new knowledge in mathematics and statistics.