昆士兰科技大学更新: Master of Data Analytics 升级为新的 Master of Data Science课程 **QUT Course Upgrade

昆士兰科技大学更新: Master of Data Analytics 升级为新的 Master of Data Science课程 **QUT Course Upgrade

昆士兰科技大学

昆士兰科技大学

昆士兰科技大学(QUT)已将Master of Data Analytics课程升级为新的Master of Data Science课程。

链接: https://www.qut.edu.au/courses/master-of-data-science?international

Master of Data Science

  • 课程代码:IN31
  • 入学时间:2月,7月
  • 学制:1.5 - 2年
  • 学费:每年41,600澳元
  • 校区:Gardens Point校区

亮点

  • QUT是澳大利亚领先的数据挖掘与分析研究机构(《澳大利亚研究杂志》2024)。
  • 4个专业方向:生物医学数据科学、计算数据科学、信息系统分析、统计数据科学。学生可以专注于一个专业方向或选择不同方向的课程混合学习。
  • 课程以项目为主,学生将完成一个与行业相关的顶点项目并进行研究培训。

奖学金

  • 25%长期奖学金:国际优秀奖学金(International Merit Scholarship),或
  • 20%首年奖学金:QUT真实世界国际奖学金(QUT Real World International Scholarship)
  • 奖学金会自动评估,符合条件的学生将在录取通知书中获得相关的奖学金,无需单独申请。

学术入学要求

  • 2年制课程:在任何学科中获得认可的学士学位,且成绩达到及格的GPA
  • 1.5年制课程:在信息技术、数学或生物医学科学领域获得认可的学士学位,且成绩达到及格的GPA

英语要求

  • IELTS 6.5(单项不低于6.0)或PTE 58(单项不低于50)



I am excited to announce that QUT has updated the Master of Data Analytics course to the new https://www.qut.edu.au/courses/master-of-data-science?international


Master of Data Science

  • Course Code: IN31
  • Intake: Feb, July
  • Duration: 1.5 - 2 years
  • Fees: $41,600 per year
  • Campus: Gardens Point

Selling point:

  • QUT is Australia's leading research institution for data mining and analysis (The Australian Research Magazine 2024).
  • 4 specialisations: Biomedical Data Science, Computational Data Science, Information Systems Analytics, Statistical Data Science. Students can focus on one specialisation or choose a mixed units across those specialisations.
  • The course is significant project based. Students will complete a capstone industry project with research training.

Scholarships:

  • 25% ongoing scholarship: International Merit Scholarship, or
  • 20% scholarship for the first year: QUT Real World International Scholarship
  • Scholarships are automatically assessed. Eligible students will be offered the relevant scholarship on their offer letter. No need to apply separately.

Academic entry requirements:

  • 2 years course: A recognised bachelor’s degree in any discipline with a passing GPA.
  • 1.5 years course: A recognised bachelor’s degree in IT, mathematics, or biomedical science with a passing GPA.

English requirement:

  • IELTS 6.5 (6.0) or PTE 58 (50)
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