4 years Full time or 8 years Part time
As a graduate, you will have a solid foundation in IT from your undergraduate studies and further developed data science and data analytics skills from the Masters program. You will possess a deep understanding within a chosen IT speciality and apply technical know-how, together with problem solving, creativity and people skills to develop innovative IT solutions. 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 generate insights that drive decision-making across a range of sectors. You will have the skills necessary to work in a range of industries including banking and finance, media and communications, health, education, information technology, engineering, agriculture, and mining.
This course is covered by the QUT Offer Guarantee.
For more course information, visit Bachelor of Information Technology/Master of Data Science at QUT.
Queensland University of Technology
Refer to Bachelor of Information Technology.
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); General Mathematics, or 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
98.55
ATAR/Selection Rank including adjustment factors
99.95
ATAR/Selection Rank excluding adjustment factors
85.00
ATAR/Selection Rank including adjustment factors
86.35
ATAR/Selection Rank excluding adjustment factors
72.80
ATAR/Selection Rank including adjustment factors
80.05
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.
Number of students
<5*
Percentage of all students
<5*
Number of students
<5*
Percentage of all students
<5*
Number of students
<5*
Percentage of all students
<5*
Number of students
20
Percentage of all students
66.7%
Number of students
0
Percentage of all students
0.0%
Number of students
<5*
Percentage of all students
<5*
Number of students
<5*
Percentage of all students
<5*
Number of students
30
Percentage of all students
100%
* “<5" – the number of students is less than 5
Business intelligence specialist, computer systems engineer, data analyst, data scientist, data systems developer, data-driven decision maker, digital performance analyst, statistician.