Master of Data Science
Information and Communication Technologies (ICTs)
You will develop the analytical and technical skills to use data science to guide strategic decision making. Explore data mining, machine learning and data visualisation, and develop the skills to communicate data insights to key stakeholders effectively. Our Master of Data Science is tailored for professionals with a strong mathematical or quantitative background who are passionate about drawing meaningful knowledge from data to drive business decision making or research output.
Official- Duration
- 18 months
- Qualification
- Masters Degree (Coursework)
- AQF 9
- Campus
- Camperdown
- NSW · +1 more campus
- Course code
- CRICOS 108764C
Campus images supplied directly by the institution.
Course overview
You will develop the analytical and technical skills to use data science to guide strategic decision making. Explore data mining, machine learning and data visualisation, and develop the skills to communicate data insights to key stakeholders effectively. Our Master of Data Science is tailored for professionals with a strong mathematical or quantitative background who are passionate about drawing meaningful knowledge from data to drive business decision making or research output.
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 credit average (65 percent), or - the University of Sydney Graduate Diploma in Data Science with a minimum credit average (65 percent), or a qualification deemed to be equivalent; or - completed 24 credit points of the University of Sydney Graduate Diploma in Data Science or Graduate Certificate in Data Science with a minimum credit average (65 percent). The 24 credit points must include 12 credit points of Data Science Core units and 12 credit points of Data Science specialist elective units. If you have the equivalent of an Australian AQF Level 8 degree or above in a cognate discipline, you may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 0.5 years/1 semester. 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
65%
65%
English language
Band minimums apply in addition to the overall score.
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
- TOEFL iBTOverall 79L 20 · R 20 · W 20 · S 20
- PTE AcademicOverall 58L 50 · R 50 · W 50 · S 50
- Cambridge C2 ProficiencyOverall 176L 169 · R 169 · W 169 · S 169
- Cambridge C1 AdvancedOverall 176L 169 · R 169 · W 169 · S 169
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 credit average (65 percent), or - the University of Sydney Graduate Diploma in Data Science with a minimum credit average (65 percent), or a qualification deemed to be equivalent; or - completed 24 credit points of the University of Sydney Graduate Diploma in Data Science or Graduate Certificate in Data Science with a minimum credit average (65 percent). The 24 credit points must include 12 credit points of Data Science Core units and 12 credit points of Data Science specialist elective units. If you have the equivalent of an Australian AQF Level 8 degree or above in a cognate discipline, you may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 0.5 years/1 semester.
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 · Rolling intake | — | — | — | $78,750per year | International students |
Where it is taught
The University of Sydney
PrimaryParramatta Rd, Susan Wakil Health Building, D18 Western Avenue, CAMPERDOWN, NSW
Open in maps
References
Official course page, institution website and the sources behind this profile.
- Master of 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