Use comprehensive knowledge of data science tools and techniques with critical and creative thinking and problem-solving skills to apply the insights gained from extracting knowledge from data to develop a creative entrepreneurial niche. Creative Industries core units develop networking, project management and creative thinking skills and you select a creative industries major to suit their career aspirations and creative interests. The data science component covers the necessary theory and the practical tools for data acquisition, storage, management, processing, analysis and visualisation. Ethical considerations, communication, collaboration and critical thinking skills are all given first-class coverage. The intersection of Creative Industries with Data Science provides unique opportunities for improved decision-making regarding products, services and systems across a range of industry sectors.
This course is covered by the QUT Offer Guarantee.
For more course information, visit <WebAddress
Hyperlink=”www.qut.edu.au/courses/bachelor-of-creative-industries-bachelor-of-data-science” target=”_blank”>Bachelor of Creative Industries/Bachelor of Data Science at QUT.
Refer to Bachelor of Creative Industries
There are additional course requirements that you will need to meet as a student in this course. These requirements may have associated costs. Information is available from qut.edu.au/study.
A Suitability Card may be required; refer to institution.
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
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ATAR/Selection Rank excluding adjustment factors
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* “<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
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* “<5" – the number of students is less than 5
Data visualiser, creative entrepreneur, fashion trend forecaster, music and film analyst, info-graphics specialist, user-experience analyst. In addition, Data Science graduates are employed across a wide range of areas such as advertising, finance, investment, data analytics, defence and national security, research, information technology, engineering modelling and simulation, environmental science, health, management, marketing, logistics, media, and education.
4 years Full time or 8 years Part time or 4-8 years Online learning