Master of Science in Mathematics and Statistics
Advanced coursework master’s degree with a major research project in mathematics and statistics at The University of Melbourne.
Best for:Best for graduates with a bachelor’s degree in mathematics, statistics, or related quantitative fields who seek advanced training and research experience in applied mathematics and statistics.
Overview
The Master of Science in Mathematics and Statistics at The University of Melbourne is a coursework-based programme designed to deepen expertise in mathematical and statistical methods. Students engage in advanced coursework and complete a substantial research project, preparing them for specialised roles in industry, government, or further academic research. The programme bridges theoretical knowledge with practical applications, spanning fields like healthcare, logistics, and economics. It is ideal for graduates seeking to refine their skills in quantitative analysis and research methodologies. Admission requires a strong undergraduate background in a related discipline with a minimum academic performance threshold.
What you'll do
- Complete advanced coursework in mathematics and statistics to deepen theoretical and applied knowledge.
- Conduct a major research project under faculty supervision, contributing to original research in the field.
- Develop skills in quantitative analysis and research methodologies applicable to real-world problems.
- Engage in collaborative projects and seminars to enhance interdisciplinary understanding.
- Prepare for specialised roles in industry, government, or further academic research.
Requirements
Degree required: Undergraduate degree (or equivalent) in mathematics, statistics, or a directly related quantitative discipline with a minimum Weighted Average Mark (WAM) of 65% (or equivalent) in the best 50 points of relevant studies at the third-year level.
Language: English proficiency (if applicable, though not explicitly stated in the source data).
Instruction: English
- Strong foundation in mathematics and statistics principles
- Analytical and problem-solving skills
- Ability to conduct independent research
- Proficiency in quantitative software tools (e.g., R, Python, MATLAB)
- Academic writing and report preparation skills
- Undergraduate degree in a related discipline
- Minimum academic performance threshold of 65% WAM or equivalent
- No specific nationality or residency restrictions mentioned
Funding & terms
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
Deadline: unknown
Applicants must submit their application through the official University of Melbourne graduate admissions portal. Required documents typically include academic transcripts, a personal statement, and proof of English proficiency (if applicable). Check the university’s application guidelines for specific requirements.
- Academic transcripts
- Personal statement or research proposal
- Proof of English proficiency (if applicable)
- Curriculum Vitae (CV)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.