
Master of Data Science
信息与通信技术
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.
官方核实- 学制
- 2 年
- 学历层次
- Masters by Coursework
- AQF 9
- 授课校区
- Camperdown/Darlington Campus
- NSW
- 课程编号
- CRICOS 108764C
- 院校编号 CRICOS-087981E
校园图片由院校直接提供。
课程概览
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.
入学要求
入学要求按入学年与受众分别记录。达到要求不等于一定获得录取。
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.
学历与成绩
分数按院校公布的原文显示。
Prior tertiary weighted average mark
65%
65%
英语要求
除总分外,各单项小分同样需要达标。
- 托福 iBT总分 85听 17 · 读 17 · 写 19 · 说 17
- 雅思(学术类)总分 6.5听 6 · 读 6 · 写 6 · 说 6
- PTE 学术英语总分 64听 60 · 读 60 · 写 60 · 说 60
补充要求
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.
开学批次与学费
学费按批次记录,沿用院校自己的计价口径。已被取代的批次保留在表内,便于看出学费变化。
| 批次 | 授课校区 | 开学 | 申请截止 | 学费 | 适用于 |
|---|---|---|---|---|---|
| 2027 · 第二学期 | Camperdown/Darlington Campus | — | — | $58,467每年 | 国际学生 |
| 2027 · 第一学期 | Camperdown/Darlington Campus | — | — | $58,467每年 | 国际学生 |
授课校区
Camperdown/Darlington Campus
主校区NSW
参考资料
官方课程页、院校官网,以及本页数据的来源。
- 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

