Master's Degree Computer Science Full Time

Master of Data Science

at Charles Darwin University · Darwin, Northern Territory

CRICOS course code

116326C

CRICOS provider code

00300K

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$72,882 total

Per year

A$36,441/yr

Intake

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

About this program

The Master of Data Science at Charles Darwin University is structured to give students a strong grounding in data analytics, statistical methods, and computing. Over two years of full-time study, students complete a series of core and elective units, each contributing a set number of credit points toward the degree. The curriculum covers subjects like machine learning, data mining, programming for data science, and data visualisation. These units equip students to handle large datasets, extract insights, and communicate results in clear, actionable ways.

Students develop technical expertise in tools and programming languages commonly used in Australian industry, such as Python and R, as well as experience in database design and management. Many units involve project-based assessments and hands-on assignments. For those wanting real-world experience, the course may offer opportunities for work-integrated learning or industry-linked projects—valuable for building a network in Australia's tech sector. A capstone project often forms a key component of the final semester, letting students tackle a data-driven question or business problem, sometimes in collaboration with industry partners.

The degree is mapped to Australian standards for postgraduate coursework, with international students needing to evidence English proficiency—typically an IELTS Academic 6.0–6.5 overall, or equivalent. While undertaking the course, students can work up to 48 hours per fortnight under their Student visa, and graduates are eligible to apply for the Temporary Graduate visa (subclass 485) to work in Australia after their studies. This pathway suits graduates from quantitative or IT backgrounds, as well as professionals seeking to shift into data science roles.

Most students enrol full-time over two years, moving through units aligned with the Australian Qualifications Framework (AQF). For up-to-date entry requirements, unit lists, and course structure, check the official Charles Darwin University website or the CRICOS register 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
Data Analyst
Business Intelligence Analyst
Machine Learning Engineer
Data Engineer
Analytics Consultant
Roles in government, health, finance, education, and technology sectors across Australia

Frequently asked questions

How long is the Master of Data Science at Charles Darwin 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$72,882 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data ScientistData AnalystBusiness Intelligence AnalystMachine Learning EngineerData EngineerAnalytics ConsultantRoles in government, health, finance, education, and technology sectors across Australia

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