Epidemiology and Biostatistics: meeting industry needs

Project Details

In the recent decade, there has been a notable surge in the demand for skills in epidemiology and health data analytics, both in Australia and worldwide (1). This surge is attributed to the exponential growth of big data, and its use in health decision-making. The COVID-19 pandemic and subsequent recognition of the disciplines have further accelerated the demand. The integration of AI in analytics represents a paradigm shift in the field, with AI now co-writing code and large language models being used in prediction modelling. These advancements present us with a unique opportunity to spearhead the development of curricula, both locally and globally. Moreover, they underscore the importance of equipping our graduates with foundational skills that align with emerging trends in AI-driven analytics. This initiative aims to ensure that our graduates are well-prepared to navigate diverse workplace settings and effectively address current and future public health challenges in an era of rapid technological evolution.

Researchers

Dr Andrew Lau

Associate Professor Melissa Russell

Associate Professor Emily Karahalios

Dr Anurika De Silva

Ms Hannah Morgan

Kirsty Beeves

Funding

Melbourne School of Population and Global Health

Research Opportunities

This research project is available to PhD students, Masters by Research, Honours students, Post Doctor Researchers to join as part of their thesis.
Please contact the Research Group Leader to discuss your options.

Research Group

Teaching & Learning

Key Contact

For further information about this research, please contact the research group leader.

Department / Centre

Centre for Epidemiology and Biostatistics

MDHS Research library
Explore by researcher, school, project or topic.