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Mathematics● OpenMastersPreview

Master of Statistics and Operations Research

A coursework-based master's program focused on applying statistical and operations research techniques to solve complex industry and government problems.

Best for:Best for students seeking to apply advanced statistical and optimization techniques to professional roles in industry or government.

RMIT University · Melbourne City, Australia · R1 · First-stage researcher
More professors at RMIT University
StatisticsOperations ResearchData AnalysisOptimizationStatistical Software
This is a masters position — not a PhD studentship.
Deadline
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Funding
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Start date
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Location
Melbourne City
Australia

Overview

The Master of Statistics and Operations Research at RMIT University is a coursework-based program designed to equip students with advanced analytical skills. It integrates statistical theory with operations research methodologies to address real-world challenges in commercial and government sectors. Students gain exposure to industry-standard software and develop a deep understanding of the processes used by market researchers, financial analysts, and consultants. The curriculum allows for specialization in either statistics or operations research while ensuring a foundational knowledge in both fields.

StatisticsOperations ResearchMaster of ScienceData AnalyticsRMIT UniversityMathematicsCoursework

What you'll do

  • Complete coursework covering fundamental and advanced statistical methods.
  • Apply operations research techniques to solve industry-specific problems.
  • Utilize contemporary statistical and operations research software for data analysis.
  • Develop an in-depth understanding of analytical processes used by financial analysts and consultants.
  • Select and pursue specialized courses in either statistics or operations research.

Requirements

Degree required: Australian bachelor degree in any discipline, or equivalent.

Degree offered: Master of Statistics and Operations Research

Instruction: English

Required skills
  • Foundational knowledge in mathematics or related quantitative fields.
  • Ability to engage with complex analytical coursework.
  • Interest in applying statistical models to real-world scenarios.
Nice to have
Prior experience with statistical software packages.Background in quantitative analysis or programming.
Eligibility
  • Must hold an Australian bachelor degree or an equivalent qualification.

Funding & terms

Type
Unknown
Amount
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Duration
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Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Interested applicants should visit the official RMIT University program page to review specific entry requirements and application procedures. Applications are submitted through the university's online portal.

Documents required
  • Academic transcripts
  • Proof of degree completion
↗Check programme and admissions
Lab
School of Science
RMIT University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.