Graduate Certificate Information Technology Full Time

Graduate Certificate in Data Science

at University of Sydney · Sydney, New South Wales

CRICOS course code

087980F

CRICOS provider code

00026A

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

26 weeks

Tuition (whole course)

A$28,950 total

Per year

A$57,900/yr

Intake

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

About this program

The Graduate Certificate in Data Science at the University of Sydney offers a robust introduction to the fundamentals of data science and analytics, designed for graduates seeking to upskill or transition into this rapidly evolving field. The course provides core knowledge in statistical analysis, programming, and data management, ensuring a solid grounding in the practical and theoretical underpinnings of data-driven decision making.

Typically structured over one semester (26 weeks of full-time study), the graduate certificate consists of several units of study that each offer a certain number of credit points contributing to the overall qualification. Students may encounter modules in areas such as data mining, machine learning, and data visualisation, with an emphasis on applications across varied industry sectors in Australia. Many courses of this level provide a pathway into further postgraduate study, such as a Graduate Diploma or Master of Data Science.

Skills developed include an ability to interpret and process large datasets, implement appropriate data models, and communicate actionable insights — all highly valued in the Australian workforce. Prospective students should have a background or interest in information technology, mathematics, or similar fields, and those with existing industry experience will find this a valuable way to formalise and extend their expertise. The graduate certificate suits those wanting flexible, targeted study that aligns with local workforce needs and provides a stepping stone to advanced qualifications or professional progression.

Australian institutions support students with industry links and opportunities to engage with data projects relevant to sectors such as healthcare, finance, energy, and more. As per the Australian Qualifications Framework, this credential is well-recognised nationally, with the option for international graduates to consider the Temporary Graduate visa (subclass 485) post-study work stream. Additionally, all students may work up to 48 hours per fortnight while enrolled. For fee details, English entry requirements and current unit structures, confirm information via the official course 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 Analyst in sectors such as banking, government, and healthcare
Data Science Assistant across IT solution providers and consultancy firms
Business Intelligence Support in retail, logistics, or telecommunications
Data Management roles in research institutions and start-ups
Pathway to advanced postgraduate study and technical research

Frequently asked questions

How long is the Graduate Certificate in Data Science at University of Sydney?

It typically takes 26 weeks, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$28,950 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Analyst in sectors such as banking, government, and healthcareData Science Assistant across IT solution providers and consultancy firmsBusiness Intelligence Support in retail, logistics, or telecommunicationsData Management roles in research institutions and start-upsPathway...

Apply View university