Biomedical Science - Mathematics Queensland University of Technology

Overview

Highlights

• Be in demand with the skills to connect mathematical, statistical and computational knowledge to applications in health and biomedical sciences.

• Learn to collect, collate and analyse biomedical data from clinical trials, genetics and patient treatment regimens.

• Build and interpret mathematical models that reveal new insights into patient treatment programmes.

• Develop new models of care that optimise the quality and efficiency of healthcare.

Why choose this course?

This future-focused double Biomedical Science - Mathematics degree at Queensland University of Technology addresses the increasing demand for biomedical science graduates with enhanced skills in applied mathematics, statistics and operations research.

You will graduate with the ability to collect, collate and analyse data; build and interpret mathematical models that reveal new insights into patient treatment regimens; and develop new models of care that optimise the quality and efficiency of healthcare.

Mathematical modelling is widespread in modern biomedical science, with its capacity for making predictions and revealing insights into many areas of medical research, like cellular mechanisms in tissue, wound and fracture healing, biochemical processes, and the spread of infectious disease.

The field of biomedical science provides an ideal complement for a modern mathematics degree with specialisations in the three contemporary fields - applied mathematics, statistics and operations research - offering an unlimited source of real problems and data requiring interesting and practical mathematical and statistical analysis.

Mathematical and data analytical skills that enable understanding and processing of emerging medical complexities will ensure you are in demand nationally and internationally.

Careers and outcomes

With increased demands upon the health system, a digital transformation is underway to provide better quality and efficiency of care, better population health and a better overall patient experience.

• Biochemist

• Biomedical laboratory officer

• Biomedical science researcher

• Biostatistician

• Biotechnology business/investment analyst

• Data analyst

• Data analytics specialist

• Health data and casemix analyst

• Health information manager

• Mathematician

• Quantitative analyst

• Research scientist