Bachelor of Business/Master of Data Science in Brisbane Australia | Queensland University of Technology

Key Features
Gain both theoretical and hands-on expertise in multiple business fields to build a thorough comprehension of your selected business specialization.
Advance your data science capabilities and master the ability to process, evaluate, and present intricate datasets using diverse analytical tools and methods.
Complete this program with access to numerous career paths in sectors like finance, media, and corporate communications.
QUT ranks as Australia's leading research university for data mining and analytics (Australian Research Magazine 2025).
Program Overview:
This combined degree offers an extensive education in both business and data science. The undergraduate phase establishes a strong business foundation, while the postgraduate segment strengthens analytical proficiency. Graduates will develop the expertise to produce actionable insights that inform strategic decisions and improve organizational outcomes across industries.
Business Curriculum:
Prepare to excel in the evolving business landscape with a forward-thinking degree from a globally ranked business school (top 1%). QUT Business School provides the ideal launchpad for your professional journey. Our industry-aligned programs ensure you graduate career-ready, equipped to seize emerging opportunities. From your first semester, you'll participate in practical, real-world learning experiences with our faculty and industry partners, developing essential skills and professional confidence throughout your studies.
Specializations:
Accounting
Advertising
Behavioral economics
Economics
Entrepreneurship and innovation
Finance
Financial planning
Human resource management
International business
Management
Marketing
Public relations
Data Science Curriculum:
This program prepares you for an exciting career in the fast-growing data science field. The multidisciplinary approach combines theoretical knowledge with practical applications, enabling you to create predictive models, generate forecasts, develop visualizations, and support decision-making across various real-world scenarios.
Specializations:
Computational data science
Statistical data science
Biomedical data science
Information systems analytics
Career Pathways:
Business analyst
Business development specialist
Business intelligence expert
Data analyst
Data scientist
Financial advisor/analyst
Management consultant
Marketing analytics director