Queensland Tertiary Admissions Centre

Bachelor of Engineering (Honours)/Master of Data Science
419772
Engineering and Technology, Information technology, Sciences
As a graduate, you will have a solid foundation in Engineering from your undergraduate studies and further developed data analytics skills through the Masters program. You will be a professional engineer able to design and problem […]
Full time
Course Fee
CSP/$7610 (1st year contribution)
Start Date
Queensland University of Technology - Gardens Point
Course outline

As a graduate, you will have a solid foundation in Engineering from your undergraduate studies and further developed data analytics skills through the Masters program. You will be a professional engineer able to design and problem solve for complex challenges that bring together materials, processes, systems and technologies to meet the needs of stakeholders and take account of the social, cultural and organisational contexts in which you will operate. You will be skilled in various data analytics tools and techniques, skilled in processing, analysing and visualising complex data, and able to use your skills to create innovative solutions to engineering challenges.

This course is covered by the QUT Offer Guarantee.

For more course information, visit Bachelor of Engineering (Honours)/Master of Data Science at QUT.

Majors

Refer to Bachelor of Engineering (Honours).

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, 2024
90.00
ATAR/Selection Rank profile for those offered places wholly or partly on the basis of ATAR/Selection Rank for semester/trimester/term 1, 2024

For more information about the ATAR/Selection Rank profile, please visit ATAR/Selection Rank profile explained.

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<5*

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<5*

ATAR/Selection Rank excluding adjustment factors

<5*

ATAR/Selection Rank including adjustment factors

<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, 2024

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

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

<5*

Percentage of all students

<5*

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

All students

Number of students

<5*

Percentage of all students

100%

Notes

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

Career opportunities

Analytics consultant, analytics engineer, BI engineer, data analyst, data analytics specialist, data engineer, data modeler, data scientist, machine learning engineer, solution architect.

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