Bachelor of Science/Bachelor of Data Science
Queensland University of Technology - Gardens Point

Course outline

This degree offers a unique opportunity to combine scientific knowledge and data science skills, enabling you to tackle real-world challenges using insights derived from data analysis. You will graduate as a proficient problem-solver with the ability to articulate logical and evidence-based arguments to address critical societal and environmental issues. Take advantage of hands-on learning activities, work-integrated learning, and research opportunities to ensure you are well-prepared for both careers and further research endeavours.

This course is covered by the QUT Offer Guarantee.

For more course information, visit Bachelor of Science/Bachelor of Data Science at QUT.


Refer to Bachelor of Science.

Admissions Criteria

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

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
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




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.

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

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


As this is a new course, Semester 1, 2024 information is not available.

Career opportunities

Business analyst, data scientist, health data and casemix analyst, market research analyst, research scientist.


Refer to entry for Bachelor of Science.

Course Code
Start Date

Offer rounds

9 Jan 2025
5 Jun 2025

CSP/$6160 (1st year contribution)
Level of Qualification
Bachelor degree
Study Area
Study Mode
Full time
Course Duration

4 years Full time