Master's Degree Statistics Full Time

Master of Data Science

at Flinders University · Adelaide, South Australia

CRICOS course code

105119A

CRICOS provider code

00114A

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

2 years

Tuition (whole course)

A$72,500 total

Per year

A$36,250/yr

Intake

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

About this program

The Master of Data Science at Flinders University is a two-year postgraduate degree designed to equip students with advanced skills in the analysis, interpretation, and management of complex data. Covering key domains such as statistics, machine learning, big data analytics, programming, and data visualisation, the course builds a strong foundation in both theoretical principles and practical techniques used within modern data-driven industries. Students learn to deploy data science solutions to real-world problems, informed by the latest developments in the field.

This master’s degree is structured into fixed teaching periods, typically semesters, and comprises a series of core and elective units of study that amount to the required number of credit points for course completion. Students complete practical assignments, research-based tasks, and may take part in a capstone project, enabling them to synthesise their learning through work on industry-relevant challenges. The course also fosters professional skills, such as communication, teamwork, and ethical decision-making, preparing graduates for technical and collaborative roles in the workforce.

The program is highly relevant for those seeking to enter or advance in data-driven sectors, including graduates from mathematics, statistics, computer science, engineering, and related disciplines. Flexible elective options support the pursuit of specialised interests within statistics, artificial intelligence, business analytics, or domain-specific applications of data science. Work-integrated learning opportunities may be available, and the university’s connections with Adelaide-based industry offer additional professional engagement.

Graduates of this program gain advanced analytical, computational, and research skills, adeptly meeting the needs of employers in sectors such as finance, health, government, and technology. During their studies, international students may work up to 48 hours per fortnight, and after completion, are potentially eligible for the Temporary Graduate visa (subclass 485) post-study work stream. For admission and English proficiency requirements, prospective students should consult the official Flinders University and CRICOS 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

Data scientist in technology, finance, health, or government sectors
Business data analyst within consulting and corporate environments
Machine learning engineer for technology and research organisations
Big data architect supporting large scale business operations
Statistical analyst in research institutes and public policy agencies
Data engineer in software and systems development roles

Frequently asked questions

How long is the Master of Data Science at Flinders University?

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

How much is the tuition?

Tuition is around A$72,500 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in technology, finance, health, or government sectorsBusiness data analyst within consulting and corporate environmentsMachine learning engineer for technology and research organisationsBig data architect supporting large scale business operationsStatistical analys...

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