The complexity of the human body, modern lifestyle diseases and emerging medical treatments call for graduates with diverse skill sets. The application of bioinformatics, computer science and statistical modelling continues to have a major impact on research in the biomedical sciences.The combination of these two separate but complementary study areas will be at the forefront of developments in our understanding of public health, the causes of disease and the development of new approaches to treatment.With the increased reliance on data in healthcare, there is a clear need for biomedical science graduates who can use computational and statistical methods to generate and interpret accurate data sets and link different data sets to promote evidence-based decision-making for health practitioners.
The application of these quantitative approaches is at the forefront of developments in our understanding of public health, the aetiology of disease and the development of new approaches to treatment.In the first 2.5 years of this program, you will gain knowledge of a wide range of biomedical disciplines and use these as the foundation for the development of more advanced theoretical and practical skills in specialised biomedical science areas.In the subsequent 1.5 years of the program, you will articulate to the Master of Data Analytics where you will develop both knowledge and skills in advanced biomedical data analytics.
These include data mining methods, statistical modelling, statistical data analysis, modern biomedical technologies, software system development and research methodologies.As a graduate you will have significant project-based experience and developed high-order thinking strategies that allow you to apply data analytical skills to solve complex problems in biomedical research and healthcare.
