Bachelor of Data Science
Queensland University of Technology - Gardens PointOnline

Course outline

This course produces graduates with well-developed analytical and problem-solving skills and the ability to use data science in a range of applications.

The degree 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 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.

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

99.50

90.65

80.90

ATAR/Selection Rank including adjustment factors

99.95

93.05

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

24

<5*

0

8

0

0

N/P#

40

Percentage of all students

60.0%

<5*

0.0%

20.0%

0.0%

0.0%

N/P#

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

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.

Course Code
418871
Start Date

Offer rounds
,
Fee
CSP/$6430 (1st year contribution)
Level of Qualification
Bachelor degree
Study Area
Information technology, Sciences
Study Mode
Full time, Part time, Online learning
Course Duration

3 years Full time or 6 years Part time or 3-6 years Online learning