Master of Science (Mathematics and Statistics)

University of Melbourne

Australia, Melbourne

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University of Melbourne

Australia , Melbourne

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Course Code

094599G

Campuses

Parkville

Program Language

English

Start & Deadlines

Next Intake DeadlinesMarch-2026

Apply to this program

Go to the official application for the university

Duration 2 year(s)

Tuition Fee

AUD 56,000 / year

Next Intake March-2026

Master of Science (Mathematics and Statistics)

About

Overview

Mathematics and statistics provide powerful tools for understanding the natural world and human endeavours, ranging from health care to logistics to economics.

This coursework masters degree, which includes a major research project, will take your expertise in mathematics and statistics to an advanced level.

The Master of Science (Mathematics and Statistics) provides excellent preparation for a specialist role in the workforce or graduate research in the field.

Customise the course to suit your interests

The course is designed with flexibility in mind. Choose from one of five areas to specialise in:

Applied Mathematics and Mathematical Biology
Operations Research and Industrial Optimisation
Pure Mathematics
Statistics and Stochastic Processes
Mathematical Physics and Physical Combinatorics

In addition to compulsory subjects, you’ll be able to select electives from a broad range of advanced subjects – both from your chosen specialty and from others.

You can even choose to take advanced subjects in physics, computer science or bioinformatics.

In demand globally

Qualified mathematicians and statisticians are in high demand due to a national shortage. High-level skills in this field are sought after in business, government and research organisations.

Develop your research skills

You’ll leave the course with a major research project to feature in your CV. The research project will put your skills to the test, working with one of our expert research staff on genuine mathematical or statistical problems.

If a career in research is your goal, the Master of Science (Mathematics and Statistics) is the ideal preparation for PhD studies in the field.

Requirements

Entry Requirements

Admission criteria

To be considered for entry into this course, you must have an undergraduate degree (or equivalent) in a directly related discipline with a Weighted Average Mark (WAM) of at least 65% (or equivalent) in the best 50 points of appropriate discipline studies at third year.

Appropriate discipline studies include Mathematics, Statistics, Applied Mathematics, Mathematical Physics (or equivalents).

Meeting the published entry requirements for this course does not guarantee selection.

Where our admission criteria includes a minimum Weighted Average Mark (WAM) and/or specific subject criteria, these are based on University of Melbourne grades and subjects. If you've studied elsewhere, we'll assess your relevant prior studies and equivalent grades. Your final WAM may be adjusted depending on your previous institution's accreditation, subject grading, and pass marks.

You can use our graduate coursework grade conversion eligibility calculator to get an indication of whether you are eligible for this course based on your previous studies and Weighted Average Mark (WAM).

Calculate your eligibility

English language requirements

All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test. If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:

English language test score requirements
If you need to undertake an English language test, you must meet one of the scores* below:

IELTS

6.5

with no band less than 6.0
TOEFL

79+

with writing 21; speaking 18; reading 13; listening 13
PEARSON

64+

with no communicative skill below 60
CAMBRIDGE

176+

with no skill less than 169
*Accepted tests: IELTS (Academic English Only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE). If a test displays N/A, it means it is not accepted for this course.

About selection

When assessing applications, the Selection Committee will consider your previous studies and academic performance.

The Selection Committee may request additional information to clarify any aspect of an application, according to the University’s Academic Board rules regarding selection instruments.

Meeting the published entry requirements for this course does not guarantee selection.

Quotas may be applied to the degree as a whole or to an individual stream, and preference may be given to applicants with evidence of appropriate preparation or potential to undertake research.

Supervision requirements

Entry into the Master of Science (Mathematics and Statistics) is subject to the capacity of the relevant school to provide adequate supervision in the research project.

You do not need to contact a supervisor prior to applying.

English Program Requirements

English language test score requirements

If you need to undertake an English language test, you must meet one of the scores* below:

IELTS

6.5

with no band less than 6.0

TOEFL

79+

with writing 21; speaking 18; reading 13; listening 13

PEARSON

64+

with no communicative skill below 60

CAMBRIDGE

176+

with no skill less than 169

*Accepted tests: IELTS (Academic English Only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE). If a test displays N/A, it means it is not accepted for this course.

Career

Career outcomes

Qualified mathematicians and statisticians are in high demand due to a national shortage. Consequently, graduates of higher level degrees in these areas often attract head-hunters and above-average salaries.

Our graduates go on to work as data scientists and analysts, macroeconomists, quant analysts and data engineers.

Employers in this field include:

Consulting firms including PWC, KPMG and EY
Financial services companies such as ANZ, NAB and IAG
IT companies such as IBM and Telstra
Medical research institutes such as the Walter and Eliza Hall Institute and the Murdoch Children’s Research Institute
Universities and public research institutions such as the CSIRO.