Bachelor of Data Science/Bachelor of Property Economics
Queensland University of Technology - Gardens PointnullOnline

Course outline

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.

Admissions Criteria

For additional information about the admissions criteria for QUT and for this course, refer to QUT’s website.

Prerequisites

Applicant must be 16; Completion of Year 12 or attained age 18 years

Assumed knowledge

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)

Minimum Selection thresholds (ATAR/Selection Rank) for semester/trimester/term 1, 2024
84.00
ATAR/Selection Rank profile for those offered places wholly or partly on the basis of ATAR/Selection Rank for semester/trimester/term 1, 2024

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

<5*

<5*

<5*

ATAR/Selection Rank including adjustment factors

<5*

<5*

<5*

Notes

* “<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.

Student Profile by Applicant background for semester/trimester/term 1, 2024

For more information about the Student profile, please visit Student profile explained.

Notes

Contact the institution for information.

Career opportunities

Refer to Bachelor of Data Science and Bachelor of Property Economics

Membership

Refer to Bachelor of Property Economics

Course Code
419992
Start Date

Offer rounds

9 Jan 2025
5 Jun 2025

Fee
CSP/$9190 (1st year contribution)
Level of Qualification
Bachelor degree
Study Area
Information technology, Business and Tourism, Sciences
Study Mode
Full time, Part time, Online learning
Course Duration

4 years Full time or 8 years Part time or 4-8 years Online learning