3 years Full time or 6 years Part time or 3-6 years Online learning
As a QUT Bachelor of Data Science graduate, you’ll be equipped to develop, deliver and communicate ethical data science solutions to complex, real-world problems. You’ll demonstrate broad, coherent knowledge across statistics, computer science and information systems, with the option to major in Artificial Intelligence and Machine Learning, Data and Decision Analytics, or Business Data Science. Your training will include statistical, computational, modelling, data management, programming and generative AI techniques to extract insights from data.
Critical thinking and problem solving will enable you to adapt your skills to new contexts. With data science embedded across industries—finance, engineering, health, sports, environment and defence—you’ll work independently and collaboratively in diverse teams. You’ll communicate data, problems, solutions and impacts effectively to expert and non-expert audiences.
You’ll understand social and ethical frameworks in data science, including Indigenous perspectives on data use. Through authentic assessments and work-integrated learning, you’ll build a portfolio showcasing your professional capabilities. You’ll graduate job-ready, with industry-relevant skills and the ability to grow through ongoing professional development.
This course is covered by the QUT Offer Guarantee.
For more course information, visit Bachelor of Data Science at QUT.
Queensland University of Technology
Artificial intelligence and machine learning; business data science; data and decision analytics.
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.
ATAR/Selection Rank excluding adjustment factors
98.65
ATAR/Selection Rank including adjustment factors
99.95
ATAR/Selection Rank excluding adjustment factors
91.20
ATAR/Selection Rank including adjustment factors
97.30
ATAR/Selection Rank excluding adjustment factors
82.40
ATAR/Selection Rank including adjustment factors
85.65
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.
Number of students
11
Percentage of all students
32.4%
Number of students
0
Percentage of all students
0.0%
Number of students
<5*
Percentage of all students
<5*
Number of students
N/P#
Percentage of all students
N/P#
Number of students
0
Percentage of all students
0.0%
Number of students
0
Percentage of all students
0.0%
Number of students
11
Percentage of all students
32.4%
Number of students
34
Percentage of all students
100%
* “<5" – the number of students is less than 5
# N/P – Not published: the number is hidden to prevent calculation of numbers in cells with less than 5 students
Data science graduates are employed across a wide range of areas. These include, but are not limited to, finance, investment, data analytics, defence and national security, research, information technology, engineering modelling and simulation, environmental science, health, management, marketing, logistics, media, and education.