5 years Full time
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.
Queensland University of Technology
Refer to Bachelor of Engineering (Honours).
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.
ATAR/Selection Rank excluding adjustment factors
98.50
ATAR/Selection Rank including adjustment factors
99.95
ATAR/Selection Rank excluding adjustment factors
94.35
ATAR/Selection Rank including adjustment factors
98.30
ATAR/Selection Rank excluding adjustment factors
87.40
ATAR/Selection Rank including adjustment factors
91.65
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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Analytics consultant, analytics engineer, BI engineer, data analyst, data analytics specialist, data engineer, data modeler, data scientist, machine learning engineer, solution architect.
