
Graduate Diploma in Data Science
Information and Communication Technologies (ICTs)
You will gain an advanced level of knowledge and skills in data science to help guide strategic decision making, and explore in detail different concepts including data mining, machine learning and data visualisation. Our Graduate Diploma in Data Science is tailored for professionals with a strong mathematical or quantitative background wanting to develop their technical skills in order to explore a career in data science.
Official- Duration
- 1 years
- Qualification
- Postgraduate Diploma
- AQF 8
- Campus
- Camperdown/Darlington Campus
- NSW
- Course code
- CRICOS 108765B
Campus images supplied directly by the institution.
Course overview
You will gain an advanced level of knowledge and skills in data science to help guide strategic decision making, and explore in detail different concepts including data mining, machine learning and data visualisation. Our Graduate Diploma in Data Science is tailored for professionals with a strong mathematical or quantitative background wanting to develop their technical skills in order to explore a career in data science.
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
To be eligible for admission, an applicant is required to have: - a three year Australian bachelor's degree in a cognate discipline that demonstrates a background in computer programming or statistics with a minimum average of 60 percent, or - the University of Sydney Graduate Certificate in Data Science with a minimum average of 60 percent. Planning reference: missing 2027 requirements use the latest published requirements from 2026; newer explicit 2027 requirements take precedence.
Academic qualifications
Values are shown exactly as the institution publishes them.
Prior tertiary weighted average mark
60%
60%
English language
Band minimums apply in addition to the overall score.
- TOEFL iBTOverall 85L 17 · R 17 · W 19 · S 17
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
- PTE AcademicOverall 64L 60 · R 60 · W 60 · S 60
Additional requirements
Academic entry requirement
To be eligible for admission, an applicant is required to have: - a three year Australian bachelor's degree in a cognate discipline that demonstrates a background in computer programming or statistics with a minimum average of 60 percent, or - the University of Sydney Graduate Certificate in Data Science with a minimum average of 60 percent.
Additional entry requirement
AQF Level 7 bachelor-equivalent study; course-specific criteria; English proficiency.
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Semester 2 | Camperdown/Darlington Campus | — | — | — | International students |
| 2027 · Semester 1 | Camperdown/Darlington Campus | — | — | $55,100per year | International students |
Where it is taught
Camperdown/Darlington Campus
PrimaryNSW
References
Official course page, institution website and the sources behind this profile.
- Graduate Diploma in Data Sciencesydney.edu.au
- The University of Sydneysydney.edu.au
- CRICOS provider recordOfficial source
- Sydney Conservatorium Advanced Diploma of Opera handbookOfficial source
- University of Sydney Study Abroad inbound guideOfficial source
- University of Sydney per-course coredata and explorer JSONOfficial source
- International Admission Guide 2027Official source
- Coursework Policy 2021Official source
- University of Sydney Honours eligibilityOfficial source
- University of Sydney English language requirementsOfficial source
- University of Sydney preparation and direct-entry programsOfficial source
- University of Sydney international undergraduate academic requirementsOfficial source
- University of Sydney postgraduate research admissionOfficial source
- Taylors College Sydney entry requirementsOfficial source
- QS World University Rankings 2027Official source

