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QUT (Queensland University of Technology)

  • 17% international / 83% domestic

Bachelor of Data Science

  • Bachelor

QUT's newly designed Bachelor of Data Science provides the most up-to-date knowledge and techniques in this fast-evolving field.

Key details

Degree Type
3 years full-time
Course Code
DS01, 103170C
Study Mode
Online, In person
Intake Months
Feb, Jul
Domestic Fees
$6,200 per year / $18,600 total
International Fees
$34,200 per year / $102,600 total

About this course

  • This new course has been specifically designed and built from the ground up as a specialist data science degree - the only one of its kind in Queensland.
  • Be at the forefront into one of, if not the most, highly-rated careers of contemporary times.
  • Develop the knowledge and skills demanded by employers in emergent roles.
  • Analyse and interrogate data across a multitude of industries to provide meaningful insights.
  • Learn from the researchers at the leading-edge of this specialist field.

Study locations

Gardens Point


What you will learn

This course covers the 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 detailed coverage.

Your course progression has been carefully crafted to cater for the diversity of specialist mathematics skills, to scaffold your development in coding, particularly in data science-relevant languages, and to prepare you for a rewarding career in data science.

In addition, a suite of four-unit minor offerings is available so you can specialise in a number of complementary areas, including Optimisation and Stochastic Modelling, Computational and Simulation Science, and Information Systems.

In your third year, your studies will culminate in the Data Science Capstone Project, where you'll work with an industry partner to solve a significant real-world problem using real-world data sets. This will synthesise your knowledge and techniques in solving complex authentic problems, and build your preparedness to enter the industry.

Data science is an ever-changing landscape and at the completion of this course, you'll be ideally positioned to move with it, having developed a set of fundamental tools and techniques, and the critical thinking to play a leading role in transforming industry.

Flexible delivery

Every unit of this course has been developed to be offered in online and on-campus environments. This is a digitally enhanced course where technology is integrated into all aspects of online and on-campus teaching, learning and assessment.

You will be able to access learning resources, activities and assessment remotely. Remote learners may be required to undertake key activities at designated locations, including some invigilated assessment such as at hosted assessment centres.

Career pathways

Careers and outcomes

As a graduate, you will be an agile problem-solver, capable of tackling real-world problems by applying the insights gained from extracting knowledge from data. Your comprehensive knowledge of data science tools and techniques will be employed to design new solutions that drive progress and innovation, guided at all times by your appreciation of the ethical considerations concerning the use of data in decision-making.

You'll be knowledgeable and experienced in selecting from, and applying, appropriate statistical, computational and modelling techniques including scalable approaches to big data and working with complex or unstructured data.

At the completion of this course, you will be confident in the use of appropriate tools to create pipelines for data acquisition, storage, management, processing, analysis and visualisation, and possess a deep understanding of the theoretical foundations underpinning each step.

As a data science professional, your skills will be highly attuned, equipping you to effectively communicate your data-driven insights to broader audiences, expert and non-expert alike. You will be experienced at interacting effectively within and across teams, working independently, and in appraising your own continuing professional development.

Possible careers
  • Analytics Consultant
  • Analytics Manager
  • Analytics Programmer
  • Biostatistician
  • Business Analyst
  • Business Intelligence Specialist
  • Business Strategist
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Data Scientist
  • Data Strategist
  • Data Systems Developer
  • Data-Driven Decision Maker
  • Energy Auditor
  • Information Analyst
  • Logistics Analyst
  • Management Analyst
  • Market Analyst
  • Performance Analyst
  • Predictive Modeller
  • Quantitative Analyst
  • Risk Analyst
  • Systems Analyst
  • Systems Programmer

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at QUT (Queensland University of Technology).
Overall satisfaction
Skill scale
Teaching scale
Employed full-time
Average salary