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.
This course is covered by the QUT Offer Guarantee.
For more course information, visit Bachelor of Data Science/ Bachelor of Property Economics.
Queensland University of Technology
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.
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Highest Rank to receive an offer
Median Rank to receive an offer
Lowest Rank to receive an offer
ATAR/Selection Rank excluding adjustment factors
<5*
<5*
<5*
ATAR/Selection Rank including adjustment factors
<5*
<5*
<5*
* “<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.
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Higher education study
Vocational Education and Training (VET) study
Work and life experience
Recent secondary education
Recent secondary education admitted solely on the basis of ATAR/Rank
Admitted where both ATAR/Rank and additional criteria were considered
Admitted on the basis of other criteria only and ATAR/Rank was not a factor
International students
All students
Number of students
0
0
0
–
<5*
0
0
0
<5*
Percentage of all students
0.0%
0.0%
0.0%
–
<5*
0.0%
0.0%
0.0%
100%
* “<5" – the number of students is less than 5
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