Bachelor of Business/Bachelor of Data Science
Queensland University of Technology - Gardens PointOnline

Course outline

This course combines the Bachelor of Business and the Bachelor of Data Science degrees. The business degree is uniquely designed to inspire you to realise your potential, to think entrepreneurially, and to ethically and sustainably shape the future of business. Early in the course, you will develop core business capabilities, including critical thinking, professional communication, digital and technological fluency, teamwork and global citizenship. You then undertake focused and authentic study in their chosen business discipline, engaging with the real world of business through work-integrated learning, projects and placements. 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.

QUT Offer Guarantee: If you achieve an ATAR/QUT selection rank of 93.00 or higher (including any adjustments) and satisfied all other admission requirements, you are guaranteed an offer for this course.

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

Note

Study your way – study on campus or online, or try a blended approach. There may be specific times you need to be online, or physical attendance for a study block, placement or exams. Part-time on-campus students should note daytime attendance is required. Some lectures and tutorials may have evening sessions. Check the course information for more detail.

Majors

Refer to Bachelor of Business

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, 2022
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, 2022

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

99.70

92.50

78.90

ATAR/Selection Rank including adjustment factors

99.95

93.00

84.90

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, 2022

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

10

0

0

N/P#

0

<5*

0

20

Percentage of all students

50.0%

0.0%

0.0%

N/P#

0.0%

<5*

0.0%

100%

Notes

* “<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

Career opportunities

Refer to Bachelor of Business and Bachelor of Data Science

Membership

Refer to Bachelor of Business

Course Code
419952
Start Date

Offer rounds
,
Fee
CSP/$9790 (1st year contribution)
Level of Qualification
Bachelor degree
Study Area
Business and Tourism, Information technology, Sciences
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