Master's Degree Computer Science Full Time

Master of Data Science

at Griffith University · Brisbane, Queensland

CRICOS course code

115627J

CRICOS provider code

00233E

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$90,000 total

Per year

A$45,000/yr

Intake

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

About this program

The Master of Data Science at Griffith University is a two-year degree that prepares students for roles involving big data, analytics, and technology-driven decision-making. Students study in Brisbane and typically complete a series of core and elective units—each worth set credit points—to gain knowledge in programming, statistics, machine learning, and data management. The structure aligns with Australian master's degrees, with students progressing through coursework and often completing a capstone project or applied research assignment toward the end of their studies.

Hands-on learning is an important element in data science. Students may have opportunities for work-integrated learning or industry-linked projects, which are common in Australian universities to ensure job readiness. Through practical exercises, team assignments, and possibly a placement, students apply theory to real-world problems and develop skills in data visualisation, ethical data use, and project management.

This course suits those with a background in IT, computer science, mathematics or related fields who want to develop their technical and analytical skills for industry roles. Graduates gain the ability to handle complex datasets, build predictive models, and communicate insights to stakeholders. As data science is a growing field in Australia, the degree is especially worthwhile for those seeking careers in health, finance, government, marketing, and technology sectors.

International students must provide evidence of English proficiency—IELTS Academic 6.0–6.5 or equivalent is typical for this course. Students can work up to 48 hours per fortnight during study and may be eligible for the Temporary Graduate visa (subclass 485) after graduation. For the most accurate details on course structure and entry requirements, check the university's official 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 in consulting, technology or corporate sectors
Business analytics specialist for finance and banking
Machine learning engineer in tech start-ups or established firms
Data analyst in government or not-for-profit sectors
Research data officer in health or education
Data-driven marketing specialist in retail and digital media

Frequently asked questions

How long is the Master of Data Science at Griffith 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$90,000 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in consulting, technology or corporate sectorsBusiness analytics specialist for finance and bankingMachine learning engineer in tech start-ups or established firmsData analyst in government or not-for-profit sectorsResearch data officer in health or educationData-d...

Apply View university