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Bachelor of Creative Industries/Bachelor of Data Science
Queensland University of Technology - Kelvin GrovenullGardens PointnullOnline
Overview Admissions Criteria Student Profile Career Possibilities
Course outline

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.

Majors

Refer to Bachelor of Creative Industries

Fee notes

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.

Other requirements

A Suitability Card may be required; refer to institution.

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, 2023
84.00

Minimum selection threshold explained.

ATAR/Selection Rank profile for those offered places wholly or partly on the basis of ATAR/Selection Rank for semester/trimester/term 1, 2023

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, 2023

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

–

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

Number of students

<5*

0

0

–

<5*

0

0

0

<5*

Percentage of all students

<5*

0.0%

0.0%

–

<5*

0.0%

0.0%

0.0%

100%

Notes

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

Career opportunities

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.

Course Code
419972
Start Date

Offer rounds

11 Jan 2024
6 Jun 2024

Fee
CSP/$7610 (1st year contribution)
Level of Qualification
Bachelor degree
Study Area
Creative and Performing Arts, Information technology
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

 
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