Master's Degree Statistics Full Time

Master of Statistical Data Analysis

at Australian National University · Canberra, Australian Capital Territory

CRICOS course code

111568C

CRICOS provider code

00120C

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

1 year

Tuition (whole course)

A$56,120 total

Per year

A$56,120/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Statistical Data Analysis at the Australian National University is a one-year postgraduate program designed for students seeking advanced expertise in statistical methods and data-driven decision-making. This program provides comprehensive training in modern statistical techniques, computational data analysis, and applied statistics relevant to a range of professional and research settings within Australia.

Students complete a suite of units of study that total a specific number of credit points, which includes both core and elective options drawn from advanced topics in statistical theory, data analysis, and specialised applications. The curriculum may include a capstone project that enables students to synthesise their learning on a real-world statistical problem, preparing them for professional or research practice. The structure aligns with Australian Qualifications Framework (AQF) Level 9, with a focus on both deep technical expertise and practical analytical skills.

Throughout the course, students develop advanced proficiency in statistical modelling, machine learning, data interpretation, and computational methods, utilising industry-standard statistical software. The program places strong emphasis on solving real-life problems using large and complex datasets, which is highly valued in the Australian job market. With opportunities for work-integrated learning and industry-relevant projects, students are well-equipped to engage with Australia's growing analytics sector.

This program suits graduates from quantitative backgrounds—including mathematics, economics, engineering, and computing—who wish to specialise in data analysis for roles in government, research institutes, financial services, health, and technology. International students are required to meet English proficiency requirements, with several recognised tests accepted. Students can work up to 48 hours per fortnight during study, and may be eligible for the Temporary Graduate visa (subclass 485) post-graduation. For up-to-date details, refer to the official course page.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Statistical data analyst in research institutes and government agencies
Biostatistician or analyst in health and medical research
Data scientist in finance, banking, and insurance industries
Quantitative analyst in technology and consulting firms
Applied statistician in public policy and social services
Research officer or technical specialist in Australian universities and CSIRO

Frequently asked questions

How long is the Master of Statistical Data Analysis at Australian National University?

It typically takes 1 year, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$56,120 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Statistical data analyst in research institutes and government agenciesBiostatistician or analyst in health and medical researchData scientist in finance, banking, and insurance industriesQuantitative analyst in technology and consulting firmsApplied statistician in public policy...

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