This course allows you to combine your interest in the property industry in the Australian and international economy with a data science degree and graduate with a diverse set of skills to enhance employment options in both fields. Across this double degree, you benefit from meaningful connections with high profile industry employers, practical and effective hands-on learning experiences during their studies, classes with leading and expert teachers, international study and placement opportunities, and the convenience of a city-based campus.
QUT Offer Guarantee: If you achieve an ATAR/QUT selection rank of 93.00 or higher (including any adjustments) and satisfied all other admission requirements, you are guaranteed an offer for this course.
For more course information, visit Bachelor of Data Science/ Bachelor of Property Economics.
Study your way – study on campus or online, or try a blended approach. There may be specific times you need to be online, or physical attendance for a study block, placement or exams. Part-time on-campus students should note daytime attendance is required. Some lectures and tutorials may have evening sessions. Check the course information for more detail.
You must complete 30 days of approved professional work.
For additional information about the admissions criteria for QUT and for this course, refer to QUT’s website.
Applicant must be 16; Completion of Year 12 or attained age 18 years
English, or Literature, or English and Literature Extension, or English as an Additional Language (Units 3 & 4, C); Mathematical Methods or Specialist Mathematics (Units 3 & 4, C)
For more information about the ATAR/Selection Rank profile, please visit ATAR/Selection Rank profile explained.
Highest Rank to receive an offer
Median Rank to receive an offer
Lowest Rank to receive an offer
ATAR/Selection Rank excluding adjustment factors
ATAR/Selection Rank including adjustment factors
* “<5" – indicates less than 5 ATAR/Selection Rank based offers were made
Excluding: The lowest ATAR/Selection Rank to which an offer was made, excluding adjustment factors.
Including: The lowest ATAR/Selection Rank to which an offer was made including any adjustment factors that may have been applied.
For more information about the Student profile, please visit Student profile explained.
No reportable data.
Refer to Bachelor of Data Science and Bachelor of Property Economics
Refer to Bachelor of Property Economics
4 years Full time or 8 years Part time or 4-8 years Online learning