MR222 - Master of Science (Mathematical Sciences)

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Plan: MR222 - Master of Science
Campus: City Campus


Program details
Purpose of the Program
Entrance requirements

Program details

Award title: Master of Science
Award abbreviation: MSc
Career: RSCH
Duration: 2 years full-time, 4 years part-time
Location: RMIT City Campus
Owning school: Science (171H)
Owning school URL:
ASCED code: 010100
CRICOS code: 079824G

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Purpose of the Program

The Master of Science degree develops advanced research principles and methods and mastery of a body of knowledge in Mathematical Sciences. Upon graduation with a Master of Science degree from RMIT University you will have developed:

  • high level skills in research processes,
  • the ability to solve complex problems and provide high-level, strategic, and research-based advice in a variety of settings.
  • the ability to analyse and synthesise knowledge related to specific disciplines, and
  • high level communication skills.

You will also be able to take advantage of holding an internationally recognised degree from a highly reputable university which is globally well known.

A Master of Science degree will provide you with a foundation for further studies into a PhD and employment in senior leadership and management research-based positions in a variety of government, non-government, and corporate environments.

Individually supervised research programs are available in the following areas of research focus:

  • Mathematical Epidemiology: Mathematical epidemiology, Infectious disease dynamics; Biostatistics/Bioinformatics: Biostatistics and Bioinformatics, applied statistics, digital health, statistical modelling; Optimisation: Computational Optimisation, Stochastic Optimisation, Nonsmooth Optimisation, Discrete Optimisation, Combinatorial Optimisation, Optimisation for Machine Learning, Applied Optimisation; Information Security and Network Sciences: risk management, cryptography, entropy, anomaly detection, social network analysis, biometrics, information theory, combinatorics, graph theory, experimental mathematics, applied statistics, Anomaly and event detection, Data Science,  complex data types, data streams, algorithm evaluation, networks; Statistical Modelling: Bayesian modelling, spatial statistics, experimental design, combinatorial design, bioinformatics, stochastic modelling, biostatistics, quality control, phenology, machine learning, ecological statistics, data visualisation, fuzzy modelling, statistics education. Statistical modelling, Mathematical statistics, Applied probability, Statistical learning, data science, species distribution model, point process in ecology and other areas. Causal Inference: Higher Education: statistics/cyber security education, curriculum design.

The Master of Science may be undertaken in thesis with publications or thesis mode. Prospective candidates should discuss these modes of submission with their potential supervisor/s prior to application.

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Entrance requirements

Applicants for masters by research programs must have completed one of the following from a recognised higher education institution:

  • a four year bachelor degree with at least a credit average in the final undergraduate year;


  • another recognised award deemed to be equivalent in character and standard to a four year undergraduate degree, with at least a credit average in the final undergraduate year. 

Alternatively applicants may provide evidence of appropriate academic qualifications and experience that satisfies the Dean of the School of Graduate Research or nominee that the applicant has developed knowledge of the field of study or cognate field and the potential for research sufficient to undertake the proposed program.

For information on international qualifications and corresponding entry requirements that are equivalent to Australian academic entry requirements, see the Country equivalents webpage.

English Language Requirements

A minimum IELTS (academic module) overall score 6.5, with no band below 6.0; or equivalent. For equivalents to English entry requirements, see the English equivalents webpage (unresolved).

Selection Tasks

These entrance requirements are the minimum academic standard you must meet in order to be eligible to apply for the program. You will need to complete a selection task as part of your application. For further information on the steps you need to take to apply for a research program see the How to apply – Research programs webpage.

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