Master's Degree Computer Science Full Time

Master of Data Science

at RMIT University · Melbourne, Victoria

CRICOS course code

093313B

CRICOS provider code

00122A

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$92,160 total

Per year

A$46,080/yr

Intake

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

About this program

The Master of Data Science at RMIT University is built for those wanting to work with large and complex data in professional settings. You’ll focus on programming, machine learning, data wrangling, and statistical analysis, while learning to communicate your findings to non-technical audiences. Core topics include artificial intelligence, data visualisation, and big data infrastructures.

This two-year master's degree is structured around semester-based teaching and consists of units of study adding up to a set number of credit points—be sure to check the official page for the most up-to-date breakdowns. A major component is the capstone project, where you’ll draw on everything you’ve learned to tackle a real-world data science problem, often with input from industry partners in Melbourne's growing tech sector. Some streams allow for internships or work-integrated learning, which opens the door to placements in local companies.

You will build skills in cleaning and managing data, developing predictive models, coding in languages common to the field, and applying business analytics in an Australian context. This degree suits graduates with backgrounds in mathematics, statistics, computer science, or engineering, as well as professionals seeking to formalise their knowledge of data science practices.

If you’re planning to work during your studies, international students can work up to 48 hours per fortnight under Australian visa rules. Graduates may also be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. Be sure to confirm all requirements and options as these can change or be subject to your individual circumstances.

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, or health sectors
Machine learning engineer with Australian software firms
Business analyst for consulting or government agencies
Data engineer in logistics or telecommunications
Analytics specialist within major Australian organisations such as banks or research institutes

Frequently asked questions

How long is the Master of Data Science at RMIT 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$92,160 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in technology, finance, or health sectorsMachine learning engineer with Australian software firmsBusiness analyst for consulting or government agenciesData engineer in logistics or telecommunicationsAnalytics specialist within major Australian organisations such as...

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