In disciplines as diverse as biology, economics, actuarial studies, psychology, physics, archaeology, medicine and information technology, there is always a need for qualified statisticians to make proper sense of the data. 

The Master of Statistics program will enable you to specialise in any of a large number of areas, as well as receive rigorous training in core statistical application and theory. 

This will set you up as a professional statistician whose services will be highly sought-after. With an ANU Master of Statistics you will excel in your career literally anywhere in the world.

Learning Outcomes

1. Demonstrate statistical computing skills for use in quantitative and data-based problem solving.
2. Understand and be able to apply the processes and applications of: multiple linear regression, survey design; mathematical statistics, stochastic modelling, generalized linear modelling techniques; the principles of data representation, summarisation and presentation; multivariate statistical techniques; and, the role and notion of both parametric and non-parametric statistics.
3. Analyze complex problems by running and interpreting time series models involving dynamic volatility and/or trends.
4. Analyze and interpret data in various contexts using appropriate methodology.
5. Work independently and collaboratively to collect, process, interpret and communicate the outcomes of fundamental research questions in applied statistics.

Students in the Master of Statistics program have the option of applying to undertake a Statistics Masters thesis as a possible pathway to PhD study. Details regarding the Masters thesis are below:

• Length: 24 units, to be completed in the final year of the Master of Statistics
• Eligibility: To be eligible to apply, students must have achieved a GPA of at least 6.5 across prior coursework within the Master of Statistics. 

Eligibility will also depend on the compulsory courses that students are required to still complete as part of their Masters degree, and specifically whether students have sufficient space in their program.

• Academic/Official Transcripts
• Language Proficiency
• Passport or Visa Documents
• Work Experience Documents (If applicable)

Applicants must present a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, with at least one course in the field of mathematics that must cover calculus and linear algebra.

Applicants with an ANU Graduate Certificate of Finance and Actuarial Statistics (Statistics specialisation) with a GPA of 4.5, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra.

Application for course credits

Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit.

Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit.