Master's Degree Data Science Full Time

Master of Data Science

at Adelaide University · Adelaide, South Australia

CRICOS course code

107542C

CRICOS provider code

00123M

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$104,600 total

Per year

A$52,300/yr

Intake

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

About this program

The Master of Data Science at Adelaide University prepares students to work with complex data and develop insights that drive decision-making across many industries. Over two years, students will study topics such as statistics, programming, machine learning, data visualisation, and advanced analytics. The program is structured around semesters and usually includes eight to sixteen individual units of study, each worth a set number of credit points—refer to the official course handbook for exact requirements.

In addition to technical subjects, students can expect to work on practical projects, often involving real-world datasets. This helps connect academic learning to what employers want. Many universities in Australia also include an option for a capstone project or industry placement as part of their data science master’s; check the official university page for specific work-integrated learning opportunities at Adelaide University.

The course suits people with a background in mathematics, statistics, computer science or related fields, as well as professionals wanting to learn data science for new career opportunities. Those relocating to Adelaide benefit from the city’s growing tech industry, research connections, and employability support. International students must demonstrate English proficiency, with an overall IELTS score of 6.0–6.5 usually required. While studying, students can work up to 48 hours per fortnight, and a completed degree may meet requirements for the Temporary Graduate visa (subclass 485) post-study work stream.

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 mining, agriculture, finance, government or health sectors
  • Data analyst for consulting, marketing, or business intelligence teams
  • Machine learning engineer in technology or start-ups
  • Business analytics specialist supporting decision-making in Australian organisations
  • Research data manager in academic or public research institutes

Frequently asked questions

How long is the Master of Data Science at Adelaide 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$104,600 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in mining, agriculture, finance, government or health sectorsData analyst for consulting, marketing, or business intelligence teamsMachine learning engineer in technology or start-upsBusiness analytics specialist supporting decision-making in Australian organisatio...

Guides for this subject and the application

All guides →

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