The University of Queensland

Master of Data Science

Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.

官方核实
学制
暂无数据
学历层次
Masters by coursework
AQF 9
授课校区
St Lucia
QLD
课程编号
CRICOS 092454G
数据 JSON

校园图片由院校直接提供。

课程概览

Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.

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。

1. 1. Entry requirements It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience. You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree. 2-year degree (32 units of study) To be eligible to complete the degree in 2 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below), or a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification 1.5-year degree (24 units of study) If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time. To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 4 courses in computer sciences. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification Relevant disciplines include computer science, information technology, information systems, mathematics, engineering, physics, actuarial studies, science (majors in statistics, applied statistics, physics or mathematics) and data science. If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2 year degree only): calculus or advanced mathematics or higher mathematics or mathematical analysis, and at least 1 of the following content areas: linear algebra and statistics OR programming and databases To complete this degree, you have to meet its inherent requirements by demonstrating essential skills and attributes. Read the inherent requirements before you apply. Learn about inherent requirements We can help you meet the academic or English language requirements for your preferred program. If you haven’t completed the prerequisites, we can help. Learn about pathway options 2. Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 2 3. Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 5 4. China 211 universities: 75 5. China non-211 universities: 80 6. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4.5 is a pass.: 6.34 7. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4 is a pass.: 6 8. India Section 1 Grade Point Average (GPA) on a 10 point scale where 5 is a pass.: 6.67 9. India Section 1 Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 2 10. India Section 1 Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.67 11. India Section 1 Grade Point Average (GPA) on a 7 point scale where 2 is a pass.: 3.67 12. India Section 1 Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 5 13. 100% scale, where 50% is a Lower 2nd Class pass.: 67% 14. Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.67 15. Grade Point Average (GPA) on a 5 point scale where 2 is a pass.: 3 2. 1. Entry requirements It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience. You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree. 2-year degree (32 units of study) To be eligible to complete the degree in 2 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below), or a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification 1.5-year degree (24 units of study) If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time. To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 4 courses in computer sciences. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification Relevant disciplines include computer science, information technology, information systems, mathematics, engineering, physics, actuarial studies, science (majors in statistics, applied statistics, physics or mathematics) and data science. If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2 year degree only): calculus or advanced mathematics or higher mathematics or mathematical analysis, and at least 1 of the following content areas: linear algebra and statistics OR programming and databases To complete this degree, you have to meet its inherent requirements by demonstrating essential skills and attributes. Read the inherent requirements before you apply. Learn about inherent requirements We can help you meet the academic or English language requirements for your preferred program. If you haven’t completed the prerequisites, we can help. Learn about pathway options 2. {}

学历与成绩

分数按院校公布的原文显示。

India Section 1 Grade Point Average (GPA) on a 4 point scale where 2 is a pass.

2.67

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
  • 托福 iBT总分 87听 19 · 读 19 · 写 21 · 说 19
  • PTE 学术英语总分 64听 60 · 读 60 · 写 60 · 说 60

补充要求

  • Academic entry requirement

    1. Entry requirements It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience. You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree. 2-year degree (32 units of study) To be eligible to complete the degree in 2 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below), or a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification 1.5-year degree (24 units of study) If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time. To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 4 courses in computer sciences. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification Relevant disciplines include computer science, information technology, information systems, mathematics, engineering, physics, actuarial studies, science (majors in statistics, applied statistics, physics or mathematics) and data science. If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2 year degree only): calculus or advanced mathematics or higher mathematics or mathematical analysis, and at least 1 of the following content areas: linear algebra and statistics OR programming and databases To complete this degree, you have to meet its inherent requirements by demonstrating essential skills and attributes. Read the inherent requirements before you apply. Learn about inherent requirements We can help you meet the academic or English language requirements for your preferred program. If you haven’t completed the prerequisites, we can help. Learn about pathway options 2. Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 2 3. Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 5 4. China 211 universities: 75 5. China non-211 universities: 80 6. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4.5 is a pass.: 6.34 7. India Section 1 Grade Point Average (GPA) on a 10 point scale where 4 is a pass.: 6 8. India Section 1 Grade Point Average (GPA) on a 10 point scale where 5 is a pass.: 6.67 9. India Section 1 Grade Point Average (GPA) on a 4 point scale where 1 is a pass.: 2 10. India Section 1 Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.67 11. India Section 1 Grade Point Average (GPA) on a 7 point scale where 2 is a pass.: 3.67 12. India Section 1 Grade Point Average (GPA) on a 7 point scale where 4 is a pass: 5 13. 100% scale, where 50% is a Lower 2nd Class pass.: 67% 14. Grade Point Average (GPA) on a 4 point scale where 2 is a pass.: 2.67 15. Grade Point Average (GPA) on a 5 point scale where 2 is a pass.: 3

  • Additional entry requirement

    1. Entry requirements It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience. You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree. 2-year degree (32 units of study) To be eligible to complete the degree in 2 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below), or a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification 1.5-year degree (24 units of study) If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time. To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need: a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 4 courses in computer sciences. You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification Relevant disciplines include computer science, information technology, information systems, mathematics, engineering, physics, actuarial studies, science (majors in statistics, applied statistics, physics or mathematics) and data science. If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2 year degree only): calculus or advanced mathematics or higher mathematics or mathematical analysis, and at least 1 of the following content areas: linear algebra and statistics OR programming and databases To complete this degree, you have to meet its inherent requirements by demonstrating essential skills and attributes. Read the inherent requirements before you apply. Learn about inherent requirements We can help you meet the academic or English language requirements for your preferred program. If you haven’t completed the prerequisites, we can help. Learn about pathway options 2. {}

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St Lucia2027 年 7 月 26 日——国际学生
2027 · 第一学期St Lucia2027 年 2 月 22 日—$58,056每年国际学生

授课校区

  • St Lucia

    主校区

    QLD

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 Sciencestudy.uq.edu.au
  2. The University of Queenslanduq.edu.au
  3. CRICOS provider recordOfficial source
  4. Review postgraduate coursework entry requirementsOfficial source
  5. Review undergraduate entry requirementsOfficial source
  6. UQ 2027 International Program Catalogue and Program Requirements APIOfficial source
  7. QS World University Rankings 2027Official source

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