Bachelor of Business/Bachelor of Data Science

4 Years On Campus Bachelors Program

Queensland University of Technology

Program Overview

If you're curious about how data shapes real-world business decisions, QUT’s Bachelor of Business / Bachelor of Data Science gives you both the commercial savvy and the technical insight to lead. It’s perfect for someone who wants to combine strategic thinking with data analysis — you’ll learn how to interpret data, code, and apply business principles to solve real challenges.

Curriculum Structure

Year 1:
In your first year, you’ll build a strong foundation in both business and data science. You typically take core business units (like Business Fundamentals and Accounting Foundations) while also diving into data science basics such as Introduction to Data Science and Programming Fundamentals. You’ll also start sharpening your mathematics and statistics skills, preparing you for more advanced topics later.

Year 2:
By Year 2, your learning deepens: you’ll explore business major‑specific units (for instance, Marketing Principles or Economic Theory), while in data science you move to more structured courses like Data Storage & Management and Statistical Modelling. Alongside, you’ll develop your coding fluency, especially in languages and tools relevant for data work.

Year 3:
In your third year, you take on advanced business electives in your chosen major (for example, International Business Strategy or Financial Risk Management) and pair that with data science units such as Machine Learning or Big Data Analytics. This is also when you might begin taking part in project-based learning, working collaboratively on real‑world data challenges.

Year 4:
Your final year culminates in a Data Science Capstone Project, where you’ll partner with an industry organisation to tackle a real analytics problem. On the business side, you complete your major units (for example, Strategic Management or Sustainable Business Practices) and integrate your learning across both disciplines, readying you for a seamless transition into the professional world.

Focus Areas:
Business strategy, data acquisition, statistical modelling, machine learning, data visualisation, ethical data use

Learning Outcomes:
You’ll graduate able to translate data into actionable business insights, communicate complex findings clearly, make ethical and informed decisions using analytical tools, and strategically lead data-driven initiatives.

Professional Alignment (Accreditation):
Depending on which business major you pick—like accounting, finance, HR, marketing—you could meet the membership requirements of relevant professional bodies, giving you a solid launchpad into industry associations.

Reputation (Employability Rankings):
QUT has a strong reputation in both business and technology education. Its Business School is internationally recognised, and the Data Science program draws on the expertise of the university’s renowned Centre for Data Science. This blend makes you highly attractive to employers in fast-growing, data-driven fields.

Experiential Learning (Research, Projects, Internships etc.)

From your very first semester, this program is built so that you’re not just learning theory — you’re doing. You’ll work on live business challenges, pitch ideas to real companies, and dig into data analysis projects that mirror the kinds of work data science professionals actually do. By blending rigorous business study with in-depth data science, you’ll graduate confident in your ability to interpret data ethically, make strategic decisions, and drive meaningful business outcomes.

Here are some of the key experiential learning opportunities in this double degree:

Real‑world business simulations, including pitching to actual companies and analyzing live business cases.
Hands-on data science learning: you’ll acquire, manage, process, and visualize real datasets with industry‑relevant tools.
Collaborative work using online and open‑source tools to mirror how data science teams operate in companies.
A Capstone Project in your final year, where you partner with an industry organisation to solve a complex, authentic data problem.
Engagement with expert researchers: lecturers come from QUT’s Centre for Data Science, so you’re learning directly from people who are working at the forefront of data science research.
Ethical and communication skill development: you’ll not only analyze data, but also learn how to present insights responsibly and persuasively to both technical and non-technical audiences.

Progression & Future Opportunities

If you choose the Bachelor of Business / Bachelor of Data Science at QUT, you’re positioning yourself for a powerful and future-facing career path. This double degree develops not just your technical skills in data — things like coding, modelling, and statistical analysis — but also your strategic business sense. Graduates are ready to translate raw data into insight-driven decisions across sectors.

Here are some of the typical roles you could move into:

Business analyst
Data scientist
Analytics consultant or manager
Financial analyst or risk analyst
Data engineer or data architect

Here’s what this means for you:

QUT has strong employability support via practical, real‑world learning experiences: from day one, you’ll work on live business cases, pitch to real companies, and engage in workshops designed around authentic industry challenges.
The degree culminates in a Data Science Capstone Project with an industry partner, helping you build a portfolio that employers care about.
Through QUT’s Centre for Data Science, you benefit from faculty who are leading researchers — this connection means exposure to cutting-edge tools, methods, and networks.
Professionally speaking, depending on your chosen business major, you may fulfill requirements for membership in recognised professional bodies.
When you graduate, you won’t just have one specialist degree — you’ll walk away with two, giving you both broad business competence and deep data science expertise.

Further Academic Progression:
Once you finish this double bachelor, there are clear pathways ahead if you want to go deeper. For instance, you could enrol in QUT’s Master of Information Technology with a Data Science specialization. That master’s degree will sharpen your advanced analytics, modelling, and AI skills — and it’s even structured to pave the way toward a PhD later if research excites you.