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Research Methods


This specialisation provides a pathway to a research career. It develops comprehensive skills in computational analysis, modelling and simulation of collective emergent dynamics, used in quantifying the impact of unexpected events and socio-economic crises, and designing resilient socio-technological systems. The methodological tools are introduced to analyse complex systems and make use of partial and noisy information; effectively model, and visually represent, dynamical systems with a large number of components; use optimisation techniques to pinpoint the set of circumstances which will result in the best outcome, and 'guide' the emergent behaviour and self-organisation of complex systems. The specialisation includes an open-ended research project, leading to a thesis.

About this major

Graduate opportunities

Students graduating with Research Methods specialisation will have career opportunities in academic research (including opportunities to undertake higher degrees by research, such as Doctor of Philosophy), Research and Development, research management, and systems analysis. The specialisation has been designed for candidates with a strong interest in quantitative research methods and interdisciplinary aspects of engineering, science, business and healthcare. It prepares for a career as a key collaborator and consultant in research teams, investigating critical phenomena across multiple scientific and engineering disciplines. The graduates will have practical skills in computational simulation and forecasting, providing key modelling insights to resolution of recurrent challenges across the globe.
Career pathways
Courses that offer this major

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Units of study in this major

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The course information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

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