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Sydney Polytechnic Institute

Master of Data Science (Onshore)

Master of Data Science

信息与通信技术

The Master of Data Science (MDS) provides students with comprehensive mastery of all aspects of knowledge and skills related to data science and an opportunity to focus on specialized technical, theoretical or managerial skills through the choice of one specialization. The MDS places an emphasis on professional practice, effective communication, and project management using technical and non-technical approaches. Students will acquire extensive and deep knowledge to enable them to successfully d

院校确认
学制
2 年
全日制 · 校园授课
学历层次
Masters Degree (Coursework)
AQF 9
授课校区
Haymarket
NSW · 另有 2 个校区
课程编号
CRICOS 112062K
数据 JSON

校园图片由院校直接提供。

课程概览

The Master of Data Science (MDS) provides students with comprehensive mastery of all aspects of knowledge and skills related to data science and an opportunity to focus on specialized technical, theoretical or managerial skills through the choice of one specialization. The MDS places an emphasis on professional practice, effective communication, and project management using technical and non-technical approaches. Students will acquire extensive and deep knowledge to enable them to successfully design, implement and manage data science based solutions in complex real-world applications. Students will become confident in utilizing the latest technologies in the data science, significantly enhancing their prospects in career development or entrepreneurship. ​ Students can nominate a specialization that allows them to fulfil their own particular interests, their own industry needs, or their own career goals. In particular, students may choose to gain expertise in Artificial Intelligence if they choose not to proceed with the default specialization.

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。

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。

前置学历 GPA

Minimum GPA 4.5

英语要求

除总分外，各单项小分同样需要达标。

  • 雅思（学术类）总分 6.5听 6 · 读 6 · 写 6 · 说 6

补充要求

  • Academic entry requirement

    Completion of an AQF Level 7 qualification such as an approved three year undergraduate degree which includes some study areas requiring quantitative reasoning and analysis with a GPA of 4.5 or above

  • Additional entry requirement

    Prior study must include quantitative reasoning and analysis.

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Perth Campus, Units 39-42, 251 Adelaide Terrace, Perth WA 60002027 年 7 月 5 日—$14,860–$15,960每年国际学生
2027 · 第三学期Perth Campus, Units 39-42, 251 Adelaide Terrace, Perth WA 60002027 年 10 月 11 日—$14,860–$15,960每年国际学生
2027 · 第一学期Perth Campus, Units 39-42, 251 Adelaide Terrace, Perth WA 60002027 年 3 月 8 日—$14,860–$15,960每年国际学生

授课校区

  • Levels 3 and 4, 191 Thomas St

    主校区

    Level 4, 191 Thomas St, Haymarket, NSW

    在地图中打开

  • Haymarket

    Level 4, 191 Thomas St, Haymarket, NSW, 2000, Haymarket, NSW

    在地图中打开

  • Perth Campus, Units 39-42, 251 Adelaide Terrace, Perth WA 6000

    Units 39-42, 251 Adelaide Terrace, Perth, WA

    在地图中打开

参考资料

官方课程页、院校官网，以及本页数据的来源。

  1. Master of Data Science (Onshore)spi.nsw.edu.au
  2. Sydney Polytechnic Institutespi.nsw.edu.au
  3. CRICOS provider recordOfficial source
  4. SPI Academic Year CalendarOfficial source
  5. SPI Bachelor of ComputingOfficial source
  6. SPI Current Student ScholarshipOfficial source
  7. SPI FeesOfficial source
  8. SPI Future Student ScholarshipOfficial source
  9. SPI Master of Business Administration Technology LeadershipOfficial source
  10. SPI Our CampusOfficial source
  11. SPI Postgraduate Qualifying ProgramOfficial source
  12. SPI Postgraduate Data Science Courses Admission CriteriaOfficial source
  13. TEQSA National Register provider recordTEQSA

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Sydney Polytechnic Institute Master of Data Science (Onshore)：学费与入学要求