Master's Degree Computer Science Full Time

Master of Data Science

at Swinburne University of Technology · Melbourne, Victoria

CRICOS course code

099117B

CRICOS provider code

00111D

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$93,980 total

Per year

A$46,990/yr

Intake

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

About this program

The Master of Data Science at Swinburne University of Technology in Melbourne is a comprehensive postgraduate programme designed to equip students with advanced skills in data analysis, statistical modelling, machine learning, and the use of large-scale data systems. Drawing on the latest developments in computer science and analytics, the course addresses the rapidly evolving needs of industry and research in an Australian context, preparing graduates to extract actionable insights from complex data sets.

Structured over two years of full-time study, this degree typically comprises a series of core and elective units, each with their set of credit points. Students progress through units of study such as programming, data wrangling, advanced statistics, and data visualisation, culminating in a capstone project or research thesis that synthesises their learning in a real-world or research-driven scenario. Work-integrated learning opportunities and industry-relevant case studies enhance practical experience, and students benefit from close ties to Melbourne’s dynamic tech industry.

Throughout the programme, you will develop expertise in the use of modern data science tools and frameworks, critical thinking, and effective communication of complex results. The Master of Data Science suits those with a background in information technology, mathematics, statistics, or related disciplines who aspire to roles in data-driven fields, or professionals seeking to specialise and advance their analytics capability. Flexible unit choices and practical assignments make it suitable for both recent graduates and experienced professionals.

International students must provide evidence of English proficiency, with an IELTS (Academic) overall score of 6.0–6.5 as a typical requirement. The course is listed on the CRICOS register (099117B). Students can work up to 48 hours per fortnight during study, with potential eligibility for the Temporary Graduate visa (subclass 485) on graduation, subject to Department of Home Affairs conditions. Please confirm specific details on the official university 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 across sectors such as finance, health, retail and government
Data analyst and quantitative analyst roles in Australian organisations
Machine learning engineer or data engineer in technology and research firms
Business intelligence developer within consultancy and corporate environments
Analytics specialist for start-ups, non-profits, and public sector agencies
Opportunities to work in Melbourne’s growing digital and innovation economy

Frequently asked questions

How long is the Master of Data Science at Swinburne University of Technology?

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

How much is the tuition?

Tuition is around A$93,980 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist across sectors such as finance, health, retail and governmentData analyst and quantitative analyst roles in Australian organisationsMachine learning engineer or data engineer in technology and research firmsBusiness intelligence developer within consultancy and cor...

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