UndergraduateData Science

Bachelor of Data Science (Business Data Science)

Queensland University of Technology, Brisbane, QLD, Australia

About this program

This is QUT's attempt to sit data science and commerce in the same degree rather than bolting a stats minor onto a business degree or vice versa. The Business Data Science specialisation keeps the core data science spine (programming, statistics, machine learning, databases) but routes the applied units and electives toward business analytics, decision science and the kind of reporting and forecasting work that sits inside marketing, finance and operations teams rather than pure research.

QUT built its data science offerings around the university's Centre for Data Science, and the teaching staff include people doing applied analytics work with government and industry partners, which shows up in the project-based later units where students work with real (or realistically messy) datasets rather than cleaned textbook examples. Python and R are the working languages, SQL and data visualisation tools get dedicated unit time, and there's a capstone industry project in the final year.

Graduates land in business intelligence, data analyst and junior data science roles, generally with employers who want someone who can talk to a marketing or finance team as comfortably as they can build a model. The degree's business framing is a genuine differentiator from a straight computer-science-flavoured data science degree.

Fees & duration

Duration3 yr
Tuition (international)A$40,000
Application feeA$55

English test scores

IELTS6 overall
PTE50 overall

Verified qut.edu.au ↗

Course structure

Study plan in 4 parts

  • Year 1: Introduction to Programming
  • Statistics for Data Science
  • Introduction to Business
  • Databases and Data Management
  • Year 2: Machine Learning Fundamentals
  • Data Visualisation
  • Business Analytics
  • Applied Regression Analysis
  • Year 3: Big Data Technologies
  • Decision Analytics
  • an industry capstone project
  • business data science electives (forecasting, marketing analytics or financial analytics strands)
  • Throughout: real-dataset projects in partnership with QUT's industry contacts
  • SQL, Python and R used across units rather than a single toolchain

Career & PR pathway

Occupations this degree typically leads to, and their skilled-migration list status

Data ScientistANZSCO 224115

Primary outcomeCSOL

A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.

Assessed by Australian Computer Society (ACS)

Data AnalystANZSCO 224114

Primary outcomeCSOL

Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.

Assessed by Australian Computer Society (ACS)

StatisticianANZSCO 224113

MLTSSL

On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.

Assessed by VETASSESS

List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.

Admissions

Completion of Year 12 with Mathematical Methods, ATAR approx. 75-80

More Data Science programs

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