Master's Degree Artificial Intelligence Full Time

Master of Data Science (Professional)

at Deakin University · Melbourne, Victoria

CRICOS course code

107030E

CRICOS provider code

00113B

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$90,176 total

Per year

A$45,088/yr

Intake

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

About this program

The Master of Data Science (Professional) at Deakin University in Melbourne prepares students to tackle complex data challenges in the evolving field of artificial intelligence and analytics. Over two years of full-time study, this course will enable you to master essential skills in big data processing, machine learning, predictive analytics, and statistical modelling, all underpinned by best-practice approaches to data security and ethical management. Designed for those aiming to become industry-ready data scientists, the curriculum incorporates both foundational theory and advanced computational techniques using contemporary tools and programming languages relevant to the profession.

Australian master's degrees, such as this one, are typically structured around units of study—commonly totalling 16 credit points—delivered over four semesters. The programme may include a combination of core units, electives that allow personalisation to career goals, and a distinctive capstone project or research thesis where students apply their knowledge to solve industry-aligned problems. Deakin emphasises practical learning, with opportunities for work-integrated learning (WIL) or professional placements, giving students valuable experience in authentic Australian data-driven environments.

This course is ideal for graduates and professionals with a background in mathematics, computer science, information technology, engineering, or related disciplines seeking to enhance their ability to uncover insights from data. Not only do students refine their technical programming and analytical skills, but they also develop key communication and project management capabilities sought across Australian industry sectors.

Deakin University is known for strong ties with Australian industry and research institutions, ensuring that course content is informed by current practice and demand. Graduates may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream, and international students studying in Australia have work rights of up to 48 hours per fortnight during teaching periods. For complete entry requirements, tuition details, and up-to-date course information, please consult the official Deakin or CRICOS course webpage.

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 sectors including finance, health, government, and telecommunications
Machine Learning Engineer in Australian technology and research organisations
Business Intelligence Analyst for consulting firms, corporates, and startups
Data Analyst or Data Engineer in major Australian enterprises and analytics companies
Predictive Modeller within retail, logistics, and public sector bodies

Frequently asked questions

How long is the Master of Data Science (Professional) at Deakin 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$90,176 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist in sectors including finance, health, government, and telecommunicationsMachine Learning Engineer in Australian technology and research organisationsBusiness Intelligence Analyst for consulting firms, corporates, and startupsData Analyst or Data Engineer in major A...

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