Master's Degree Artificial Intelligence Full Time

Master of Data Science

at University of Canberra · Canberra, Australian Capital Territory

CRICOS course code

099433A

CRICOS provider code

00212K

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$84,000 total

Per year

A$42,000/yr

Intake

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

About this program

The Master of Data Science at the University of Canberra is designed for students interested in working with large sets of data, uncovering insights, and supporting strategic decision-making. This two-year postgraduate degree covers statistical methods, machine learning techniques, data mining, programming for data analysis, and artificial intelligence. Students learn using real-world datasets and tools that are common in the Australian tech sector.

Coursework is structured around semesters, with each unit of study contributing credit points towards the total needed to graduate. Alongside core technical units, students may choose electives that cover topics like advanced analytics or ethical issues in data processing, allowing for specialisation according to interest. The programme typically requires completion of a research project or capstone, where students apply their skills to solve an industry, business, or research challenge.

Australian degrees in this area often include work-integrated learning, preparing students for the demands of workplace data projects. The University of Canberra's connections with local organisations, government and industry in the ACT provide valuable practical experience and insight into how data science is applied across different sectors.

This course suits those who want to deepen their analytical skills, retrain for a data-focused career, or build on a background in IT, mathematics, or science. Graduates are well placed for professional roles in Australia and can take advantage of the Temporary Graduate visa (subclass 485) for post-study work experience. As with all Australian universities, students can work up to 48 hours per fortnight during teaching periods. Check the official course page for the latest information about course structure and requirements.

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, healthcare, or public sector
Machine learning engineer in Australian tech companies
Business analyst in government agencies or consulting
Data analyst in fields like marketing, retail, or education
Research positions in universities or government research organisations
Opportunities in Canberra’s government and policy sector, as well as national agencies

Frequently asked questions

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

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

How much is the tuition?

Tuition is around A$84,000 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in technology, finance, healthcare, or public sectorMachine learning engineer in Australian tech companiesBusiness analyst in government agencies or consultingData analyst in fields like marketing, retail, or educationResearch positions in universities or governmen...

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