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Mathematics● OpenMastersPreview

Master of Financial Mathematics

A specialized postgraduate degree bridging advanced mathematics with professional quantitative finance.

Best for:Best for graduates with a strong mathematical background seeking a career in professional quantitative finance.

Monash University · Clayton, Australia · R1 · First-stage researcher
More professors at Monash University
Financial MathematicsStochastic ProcessesComputational MathematicsMachine LearningProbability TheoryQuantitative Finance
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible
Location
Clayton
Australia

Overview

The Master of Financial Mathematics at Monash University is a rigorous, specialized program designed for students with a strong aptitude for mathematics and statistics. The curriculum focuses on applying mathematical theory to business, finance, and insurance contexts. Students are taught by leading researchers in fields such as stochastic processes, computational mathematics, and machine learning. The program emphasizes practical experience through industry projects and placements, utilizing state-of-the-art facilities like the Bloomberg data terminal lab.

Financial MathematicsQuantitative FinanceStatisticsInsuranceStochastic ProcessesMachine LearningIndustry Placement

What you'll do

  • Engage in advanced coursework covering probability, stochastic processes, and statistics.
  • Utilize professional financial tools such as Bloomberg data terminals for analysis.
  • Participate in industry-led projects to gain practical workplace experience.
  • Complete professional placements to bridge academic theory and financial practice.
  • Develop specialized quantitative skills for the finance and insurance sectors.

Requirements

Degree required: Bachelor degree in mathematics or a related field with strong mathematical content.

Degree offered: Master of Financial Mathematics

Language: English proficiency required for international students.

Instruction: English

Required skills
  • Strong mathematical and statistical aptitude
  • Academic performance with at least a 65% credit average
  • Interest in finance and insurance applications
Nice to have
Prior experience in quantitative analysisProgramming proficiency relevant to computational mathematics
Eligibility
  • Entry level 1: Bachelor degree with strong mathematical content (65% average)
  • Entry level 2: Bachelor degree in mathematics (65% average) or Graduate Certificate/Diploma with high credit average
  • Entry level 3: Four-year Honours degree in mathematics (65% high credit average)

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applications are submitted through the official Monash University course portal. Prospective students should review the entry requirements based on their prior academic qualifications before applying.

Documents required
  • Academic transcripts
  • Proof of English proficiency
↗Check programme and admissions

Contact

Lab
Faculty of Science
Monash University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.