Bachelor of Biomedical Science/Bachelor of Mathematics

4 Years On Campus Bachelors Program

Queensland University of Technology

Program Overview

The Queensland University of Technology Bachelor of Biomedical Science/Bachelor of Mathematics is a unique double degree that combines biomedical science expertise with advanced mathematical and analytical skills, preparing students for careers in healthcare research, biotechnology, data science, and scientific innovation. This program is ideal for students who enjoy both biological sciences and quantitative problem-solving, allowing them to explore human health, disease processes, statistical modelling, and computational analysis within a rapidly evolving scientific landscape.

Curriculum Structure

Year 1

In the first year, students build strong foundations in both biomedical science and mathematics while developing analytical and laboratory skills. Units such as Cells, Tissues and Regulation, Calculus and Linear Algebra, and Chemistry for the Life Sciences introduce students to human biology, mathematical reasoning, and scientific principles essential for biomedical and quantitative analysis.

Year 2

The second year expands students’ knowledge of disease mechanisms, molecular science, and advanced mathematical applications. Through units including Medical Microbiology, Statistical Methods, and Genetics and Evolution, students develop practical laboratory competencies alongside skills in data analysis, probability, and scientific modelling used in biomedical research and healthcare analytics.

Year 3

Students deepen their expertise in specialised biomedical and mathematical fields during the third year. Subjects such as Immunology, Applied Computational Mathematics, and Biochemistry allow students to explore disease investigation, computational problem-solving, and advanced scientific analysis while applying mathematical techniques to biological and medical research challenges.

Year 4

In the final year, students integrate biomedical and mathematical knowledge through advanced projects and specialised studies. Units such as Biomedical Research Skills, Operations Research, and Mathematical Modelling help students develop expertise in scientific research, predictive analysis, data-driven decision-making, and complex problem-solving relevant to healthcare, biotechnology, and research industries.

Focus Areas

Biomedical science, molecular biology, genetics, microbiology, immunology, statistical analysis, mathematical modelling, computational science, data analytics, biomedical research.

Learning Outcomes

Develop advanced scientific and quantitative reasoning skills, apply mathematical and statistical methods to biomedical challenges, conduct laboratory and research investigations, analyse complex scientific data, communicate technical findings effectively, and solve interdisciplinary healthcare and scientific problems using evidence-based approaches.

Professional Alignment (Accreditation)

The program combines industry-relevant biomedical training with strong mathematical and analytical preparation, supporting careers in biomedical research, healthcare analytics, biotechnology, pharmaceutical industries, and scientific data science fields.

Reputation (Employability Rankings)

Queensland University of Technology is internationally recognised for practical education, industry collaboration, and graduate employability. QUT’s science and mathematics programs are respected for producing graduates with strong technical, analytical, and workplace-ready skills aligned with modern industry needs.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Queensland University of Technology Bachelor of Biomedical Science/Bachelor of Mathematics gain practical experience through a combination of laboratory-based biomedical training, mathematical modelling projects, computational analysis, and research-focused learning. The program gives students access to advanced science laboratories, digital mathematical technologies, and collaborative research environments that connect biomedical investigation with real-world data analysis and scientific problem-solving:

Biomedical Science Laboratories: Students participate in practical laboratory sessions covering microbiology, molecular biology, genetics, immunology, and biochemistry using industry-standard scientific equipment.
Mathematical and Statistical Computing: Students develop quantitative analysis skills through mathematical modelling, statistical computing, and data interpretation activities relevant to healthcare and biomedical research.
Specialised Scientific Software: The program incorporates digital analytical tools, statistical software, computational mathematics platforms, and scientific databases used in biomedical and mathematical industries.
Institute of Health and Biomedical Innovation (IHBI): Students benefit from QUT’s strong biomedical research environment and exposure to interdisciplinary health and scientific innovation projects.
Research and Data Analysis Projects: Students complete collaborative and independent scientific projects that combine laboratory investigation with advanced mathematical and statistical problem-solving.
Hands-On Experimental Learning: Practical classes allow students to apply theoretical scientific and mathematical concepts directly to biomedical investigations and real-world healthcare challenges.
Collaborative Group Work: Team-based laboratory projects and quantitative research activities help students develop communication, teamwork, and professional analytical skills.
Advanced Digital Learning Technologies: Students use online simulation tools, scientific data platforms, biomedical databases, and mathematical software to support research and analytical learning.
QUT Research Facilities and Laboratories: Students have access to modern biomedical science facilities, analytical laboratories, and quantitative research environments designed for advanced scientific training.
QUT Library and Research Resources: Students can access extensive biomedical journals, mathematical databases, research publications, and digital academic support tools through QUT Library services.

Progression & Future Opportunities

Graduates of the Queensland University of Technology Bachelor of Biomedical Science/Bachelor of Mathematics are highly valued for their unique combination of scientific expertise and advanced quantitative analysis skills. The program prepares students for careers across biomedical research, healthcare analytics, biotechnology, pharmaceuticals, data science, and scientific computing industries. Graduates commonly pursue roles such as Biomedical Data Analyst, Research Scientist, Biostatistician, Clinical Research Officer, or Healthcare Data Specialist:

QUT Careers and Employability Services: Students receive support through QUT’s dedicated employability services, including career mentoring, resume workshops, interview preparation, networking events, and employer engagement programs.
Strong Interdisciplinary Skill Set: Graduates develop expertise in both biomedical science and mathematical analysis, making them competitive for emerging careers in health analytics, computational biology, bioinformatics, and research data science.
Industry-Relevant Research Experience: Practical laboratory training, research projects, and quantitative modelling activities help students build real-world scientific and analytical capabilities valued by employers.
Institute of Health and Biomedical Innovation (IHBI): Students gain exposure to interdisciplinary biomedical research environments and health innovation projects connected to healthcare and scientific industries.
Career Opportunities Across Multiple Sectors: Graduates may work in biotechnology companies, pharmaceutical industries, healthcare organisations, medical research institutes, public health agencies, financial analytics, or scientific consulting firms.
Advanced Quantitative and Scientific Skills: The combination of laboratory expertise and mathematical modelling skills supports careers involving biomedical data analysis, predictive modelling, disease research, and evidence-based healthcare decision-making.
Global Employability Reputation: QUT is internationally recognised for practical learning, industry engagement, and graduate employability outcomes in science, mathematics, and health-related disciplines.
Long-Term Professional Value: The interdisciplinary nature of the degree provides flexibility for long-term career growth across scientific research, technology-driven healthcare, advanced analytics, and innovation-focused industries.
Typical Graduate Roles: Biomedical Scientist, Biostatistician, Data Analyst, Research Officer, Bioinformatics Assistant, Healthcare Data Consultant, Clinical Research Coordinator, or Biotechnology Analyst.

Further Academic Progression:
After completing this double degree, graduates may continue into postgraduate study in Biomedical Science, Data Science, Biostatistics, Bioinformatics, Public Health, Biotechnology, Applied Mathematics, Artificial Intelligence, or Health Analytics. Students may also pursue honours programs, specialised master’s degrees, or PhD research pathways in biomedical research, computational science, or healthcare innovation.