Entry requirements 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 for previous qualifications 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 GPA equivalent Select where you studied and your qualification to see the GPA equivalent you need to be considered for this program. Use the GPA equivalent as a guide. When you apply, we’ll calculate your GPA using the UQ grading scale. Any failing grades will be included. Entry requirements are subject to change. Equivalent subjects Subject Qualification equivalent English language requirements IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ TOEFL iBT (including Paper Edition) - Overall 87, listening 19, reading 19, writing 21 and speaking 19. PTE Academic - Overall Score of 64 and 60 in all sub bands. BE - A minimum overall grade of 4 plus a minimum grade of C in all macro skills. CES - Overall 176 and 169 in all sub bands. OET is not accepted. There are other ways to meet the English language requirements. For some programs, additional conditions apply. Learn how to meet the English language requirements Inherent requirements 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 Student visas International students who are accepted into full-time study in the Master of Data Science are eligible to apply for an Australian student visa (subclass 500). There are a number of requirements you must satisfy before a visa is granted, including the Genuine Student (GS) requirement. Learn more about student visas Need help meeting the entry 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
