Bachelor of Biomedical Science/Master of Data Science

4 Years On Campus Bachelors Program

Queensland University of Technology

Program Overview

The Queensland University of Technology Bachelor of Biomedical Science/Master of Data Science is an accelerated combined program that equips students with advanced biomedical knowledge alongside high-level data analytics, programming, and computational problem-solving skills. This program is ideal for students interested in the future of healthcare technology, biomedical research, artificial intelligence, and health data analytics, preparing graduates to work at the intersection of science, technology, and innovation.

Curriculum Structure

Year 1

In the first year, students establish strong foundations in biomedical science, mathematics, and digital technologies while developing scientific and analytical thinking skills. Units such as Cells, Tissues and Regulation, Chemistry for the Life Sciences, and Foundations of Data Science introduce students to human biology, molecular science, statistical thinking, and computational analysis.

Year 2

The second year focuses on expanding biomedical understanding alongside core data science and analytical capabilities. Through units including Medical Microbiology, Genetics and Evolution, and Data Visualisation and Analytics, students develop laboratory investigation skills while learning how to interpret complex datasets and apply analytical methods to scientific challenges.

Year 3

Students deepen their expertise in biomedical systems, research investigation, and advanced computational analysis during the third year. Subjects such as Immunology, Biochemistry, and Machine Learning help students connect biomedical research with predictive modelling, artificial intelligence, and data-driven healthcare decision-making.

Year 4

In the final year, students complete advanced master’s-level study focused on data science applications in biomedical and healthcare environments. Units such as Big Data Management, Advanced Data Analytics, and Biomedical Research Skills develop expertise in large-scale data interpretation, computational problem-solving, scientific research, and healthcare innovation projects.

Focus Areas

Biomedical science, data analytics, machine learning, healthcare technology, molecular biology, computational science, bioinformatics, artificial intelligence, biomedical research, health data analysis.

Learning Outcomes

Develop advanced biomedical and computational knowledge, analyse complex scientific and healthcare datasets, apply machine learning and data analytics techniques to biomedical problems, conduct laboratory and research investigations, communicate scientific and technical findings effectively, and solve interdisciplinary healthcare challenges using evidence-based and technology-driven approaches.

Professional Alignment (Accreditation)

The program combines biomedical science expertise with advanced data science training, preparing graduates for careers in healthcare analytics, biomedical informatics, biotechnology, pharmaceutical research, health technology, and scientific data management industries.

Reputation (Employability Rankings)

Queensland University of Technology is internationally recognised for innovation, industry-connected learning, and graduate employability. QUT’s strong reputation in science, technology, and digital innovation helps graduates develop highly sought-after skills aligned with the growing demand for healthcare and biomedical data specialists.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Queensland University of Technology Bachelor of Biomedical Science/Master of Data Science gain hands-on experience through biomedical laboratory training, computational analytics projects, machine learning applications, and research-focused scientific investigations. The program combines practical biomedical science with advanced digital technologies, allowing students to work with real datasets, analytical software, and modern research facilities used in healthcare, biotechnology, and data-driven scientific industries:

Biomedical Science Laboratories: Students participate in practical laboratory sessions covering microbiology, molecular biology, genetics, immunology, and biochemistry using advanced scientific equipment and laboratory technologies.
Data Science and Analytics Training: Students develop practical experience in data modelling, machine learning, statistical analysis, and predictive analytics through industry-relevant computational projects.
Specialised Software and Digital Tools: The program incorporates programming languages, data visualisation platforms, analytical software, biomedical databases, and machine learning technologies used in healthcare and scientific industries.
Institute of Health and Biomedical Innovation (IHBI): Students benefit from QUT’s leading biomedical research institute, gaining exposure to interdisciplinary health innovation and biomedical data research projects.
Real-World Research Projects: Students work on biomedical and data science projects involving scientific investigation, healthcare datasets, computational analysis, and evidence-based problem-solving.
Collaborative Team Projects: Group-based analytical and scientific projects help students develop communication, teamwork, and interdisciplinary problem-solving capabilities.
Advanced Research Facilities: Students have access to modern biomedical laboratories, data science facilities, research centres, and technology-enabled learning environments across QUT campuses.
Digital and Computational Learning Environment: Students engage with online simulation tools, cloud-based analytical systems, scientific computing platforms, and digital research technologies throughout the program.
QUT Library and Research Databases: Students can access extensive biomedical journals, scientific publications, health datasets, programming resources, and advanced research databases through QUT Library services.
Industry-Focused Technical Skills: Practical learning activities are designed to prepare students for emerging careers in healthcare analytics, biomedical informatics, biotechnology, and health technology innovation.

Progression & Future Opportunities

Graduates of the Queensland University of Technology Bachelor of Biomedical Science/Master of Data Science are highly prepared for careers that combine healthcare knowledge with advanced analytical and computational expertise. The program equips students with strong capabilities in biomedical research, health data analytics, artificial intelligence, and scientific problem-solving, creating opportunities across rapidly growing healthcare and technology sectors. Graduates commonly pursue roles such as Biomedical Data Scientist, Health Data Analyst, Bioinformatics Specialist, Clinical Research Analyst, or Healthcare Technology Consultant:

QUT Careers and Employability Services: Students receive professional career support through QUT’s Careers and Employability team, including resume development, interview preparation, career mentoring, networking events, and employer engagement activities.
High-Demand Industry Skill Set: Graduates develop expertise in both biomedical science and data analytics, preparing them for emerging careers in digital healthcare, biotechnology, precision medicine, and health technology innovation.
Industry-Relevant Technical Experience: Practical laboratory training, computational projects, machine learning applications, and healthcare data analysis activities help students build workplace-ready technical and analytical skills.
Institute of Health and Biomedical Innovation (IHBI): Students benefit from QUT’s strong biomedical research environment and exposure to interdisciplinary projects involving healthcare technologies, medical research, and scientific data analysis.
Career Opportunities Across Multiple Sectors: Graduates may work in hospitals, biotechnology companies, pharmaceutical organisations, government health agencies, research institutes, healthcare technology firms, and data-driven scientific industries.
Advanced Digital and Analytical Capabilities: The master’s-level data science component strengthens graduates’ expertise in programming, machine learning, big data management, predictive modelling, and evidence-based healthcare decision-making.
Global Employability Reputation: QUT is internationally recognised for innovation, practical learning, and graduate employability, particularly in science, technology, and digital transformation disciplines.
Long-Term Professional Value: The interdisciplinary nature of the program provides long-term career flexibility across biomedical research, health informatics, artificial intelligence, biotechnology innovation, and advanced healthcare analytics.
Typical Graduate Roles: Biomedical Data Scientist, Health Data Analyst, Bioinformatics Consultant, Clinical Research Analyst, Healthcare Systems Analyst, Pharmaceutical Data Specialist, or Medical Technology Advisor.

Further Academic Progression:
After completing this program, graduates may continue into advanced research pathways such as a PhD in Biomedical Science, Data Science, Bioinformatics, Artificial Intelligence, Health Informatics, or Computational Biology. The qualification also supports specialised professional development in emerging healthcare technologies, biomedical analytics, and scientific innovation leadership.