Master of Science (Mathematical Sciences)

Study Area

Mathematics & Statistics

Study Level



RMIT University



Course Detail


Melbourne City

Intake Time


Standard Duration

2 years

About the Course

Develop your logical, analytical and creative problem solving skills and further the growth of mathematical theory and application. You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including: Mathematics algebraic coding theory complex networks and epidemiology computational fluid dynamics dynamics and control theory and applications environmental and resource modelling general mathematical modelling graph, complexity and network theory information security integer programming and discrete mathematics mathematical biology numerical analysis optimisation theory - algorithms and applications Statistics and operations research analysis: survival data, reliability, exploratory data, time series, sequential, decision data mining game theory and applications nonparametric statistical techniques optimisation and applications statistical quality control sport, bio, financial, multivariate statistics supply chain, and stochastic modelling queueing theory and applications RMIT's researchers deliver high-impact and influential outcomes.Success is demonstrated through excellent performance in university rankings, such as being ranked as well above world standard in the Australian Research Council Excellence in Research for Australia (ERA) 2015 round.


Average Score

at least 60%


6.5 (6.0)

Background Requirements


RMIT University

Institute Ranking

#223 in QS World University Rankings 2021, #15 in Australia

Program Ranking