Highlights
Within your Business component of the double degree, you'll undertake focused and authentic study in your chosen business discipline, and will equip you to confidently enter the modern business world. It combines key business research and contemporary business best practices, and sets demanding standards to create your future career options. You will choose from one of 10 major study areas:
For more information about these majors, please refer to the Bachelor of Business.
The Data Science component of your studies 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.
Why choose this course?
Data scientist, as an occupation, has experienced a growth of 492 per cent from 2015 to 2019 (Burning Glass Technologies, National Skills Commission Analysis, 2020). It is widely acknowledged as one of the most desirable careers, not just in Australia, but globally.
Across the world, we are collecting massive amounts of data. It's the new currency. But that data means very little if we're not able derive meaningful insights from it. We need skilled data scientists to create meaning with the data.
Careers and outcomes
Combining business and data science offers diverse and exciting career opportunities in a rapidly-expanding field of data science.
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 highly 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.
You'll be confident in the use of appropriate tools to create pipelines for data acquisition, storage, management, processing, analysis and visualisation, and will have a deep understanding of the theoretical foundations underpinning each step.
*Price shown is for indicative purposes, please
February 2025
Queensland University of Technology (QUT)
Gardens Point Campus & Kelvin Grove campus,
BRISBANE CITY,
Queensland,
4000, BRISBANE, Australia
*Price shown is for indicative purposes, please
July 2025
Queensland University of Technology (QUT)
Gardens Point Campus & Kelvin Grove campus,
BRISBANE CITY,
Queensland,
4000, BRISBANE, Australia
Students must have a pass in Australian Year 12 or equivalent.
Entry requirements may vary from country to country.
IELTS Academic score of 6.5 with Listening, Reading, Writing and Speaking score of 6; TOEFL iBT score of 79 with Listening, reading score of 16, Writing score of 21 and Speaking score of 18; Pearson PTE (Academic) score of 58 with Listening, Reading, Writing and Speaking score of 50; Cambridge English Advanced (CAE) score of 176 with Listening, Reading, Writing and Speaking score of 169.
*There may be different IELTS requirements depending on your chosen course.
QUT is a young, research-intensive university, ranking in the top 200 universities globally (THE World University Rankings 2024).