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.

Official
Duration
Not provided
Qualification
Masters by coursework
AQF 9
Campus
St Lucia
QLD
Course code
CRICOS 092454G
Data JSON

Campus images supplied directly by the institution.

Course overview

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.

Entry requirements

Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.

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. {}

Academic qualifications

Values are shown exactly as the institution publishes them.

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

2.67

English language

Band minimums apply in addition to the overall score.

  • IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
  • TOEFL iBTOverall 87L 19 · R 19 · W 21 · S 19
  • PTE AcademicOverall 64L 60 · R 60 · W 60 · S 60

Additional requirements

  • 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. {}

Intakes and tuition

Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.

IntakeCampusStartsApplications closeTuitionFor
2027 · Semester 2St Lucia26 July 2027——International students
2027 · Semester 1St Lucia22 February 2027—$58,056per yearInternational students

Where it is taught

  • St Lucia

    Primary

    QLD

References

Official course page, institution website and the sources behind this profile.

  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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Master of Data Science at The University of Queensland: Fees & Entry Requirements