Deakin University Courses

Undertake research into the molecular basis of health and disease. Research spans basic gene discovery and molecular analysis, through functional genomics and pre-clinical development to the testing of new therapeutics, underpinned by powerful and relevant experimental platforms.

This is a supervised research program taken by thesis or folio. The research of each candidate is conducted under the supervision of a full-time member of the academic staff.

Undertake research in a health related topic under the supervision of an academic staff member.

Business analytics is transforming the way organisations make decisions. The Graduate Certificate of Business Analytics enables professionals to create value from big data and solve the decision-making challenges facing business today.

A full-time member of the academic staff, experienced in research, will be appointed as your supervisor in the Doctor of Philosophy - Environmental Science. Associate supervisors, internal or external, will be appointed to assist the principal supervisor.

As a Doctor of Philosophy - Engineering student you will be appointed with an experienced, full-time member of the academic staff in the Faculty of Science, Engineering and Built Environment to supervise your research.

The world of marketing is witnessing a dramatic transformation. How organisations work and implement marketing in practice is changing at breakneck speed. It is crucial that practitioners of the future are skilled across a vast set of marketing technology solutions.

With the recent COVID-19 global health crisis highlighting the need for qualified healthcare professionals, public health specialists have never been so important. Study the Graduate Diploma of Public Health to take the first step towards a leadership role in this vital field.

The sheer volume and complexity of data at the fingertips of business gives rise to challenges that must be solved by tomorrow's graduates. Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.

A full-time member of the academic staff in The Applied Artificial Intelligence Institute (A²I²), experienced in research, will be appointed as supervisor for each student in the Master of Science - Information Technology.

A full-time member of the academic staff in the Institute for Intelligent Systems Research and Innovation (IISRI), experienced in research, will be appointed as supervisor for each student in the Doctor of Philosophy - Engineering.

A full-time member of the academic staff, experienced in research in the The Applied Artificial Intelligence Institute (A²I²), will be appointed as supervisor for each student in the Doctor of Philosophy - Information Technology.