The Master of Information and Communications Technology (Research) exposes you to advanced topics and research in the field of Information and Communications Technology. This degree is comprised of a coursework component that is followed by a full-time-equivalent year of supervised research training. The main goal of the degree is to provide you with an opportunity to develop research skills appropriate to the ICT discipline.

If you already have a degree in information sciences, but are looking to take your research skills to the next level, this course lets you extend your knowledge and make valuable new contributions to the pioneering field of information technology (IT). You will undertake advanced coursework and research across a broad spectrum of engineering and IT-related areas, including statistics, business informatics, mathematics, information systems, network engineering, software engineering, artificial intelligence, and more. Under the professional guidance of an expert supervisory panel, you will be introduced to research methodology, learn how to frame a research proposal and then prepare a formal thesis to be presented in seminar-form at the end of your study. Upon graduation, you will have a range of career and study choices available to you, such as entering the workforce as a job-ready network security engineer, software engineer, web application developer or project manager, or pursuing a PhD in research. As a Higher Degree by Research (HDR), this course is covered under the Australian Government's Research Training Program (RTP) funding model, which provides a fee offset for domestic students for the standard duration of the course.

In this course, you will get a unique opportunity to conduct a real-world clinical research project in the state-of-the art laboratory under the supervision of leading researchers. The research project can be in an area of your choice and aims to address global unmet clinical needs. This degree is designed to provide you with systematic training in individual components of systems medicine. This includes genomics, proteomics, transcriptomics, metagenomics and metabonomics (metabolomics). A strong focus is placed on metabolic phenotyping and computational biology, which will be supported by access to facilities within the Australian National Phenome Centre (ANPC) and Centre for Computational and Systems Medicine (CCSM).