Queensland Tertiary Admissions Centre

Bachelor of Data Science/Bachelor of Property Economics
419992
Information technology, Business and Tourism, Sciences
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 […]
Full time Part time Online learning
Course Fee
CSP/$9190 (1st year contribution)
Start Date
Queensland University of Technology - Gardens PointnullOnline
Duration

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

Offer Rounds
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.

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<5*

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<5*

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<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.

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

<5*

Percentage of all students

<5*

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

All students

Number of students

<5*

Percentage of all students

100%

Notes

* “<5" – the number of students is less than 5

Career opportunities

Refer to Bachelor of Data Science and Bachelor of Property Economics

Membership

Refer to Bachelor of Property Economics

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