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Financial Mathematics● OpenMastersPreview

Master of Financial Mathematics

A specialised master’s programme combining advanced mathematics, statistics, and computational techniques for modern finance careers.

Best for:Best for mathematics or statistics graduates with a passion for quantitative finance and a solid foundation in advanced mathematical techniques.

UNSW Sydney · Kensington, Australia
More professors at UNSW Sydney
Stochastic analysisNumerical methods in financeStatistical techniques for risk assessmentComputational financeFinancial modellingQuantitative finance
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Kensington
Australia

Overview

The Master of Financial Mathematics at UNSW Sydney offers rigorous training in financial modelling, stochastic analysis, numerical methods, and statistical techniques. Tailored for students seeking expertise in quantitative finance, the programme bridges theoretical mathematics with practical applications in risk assessment, computational finance, and financial market analysis. Graduates are well-prepared for high-demand roles in the financial industry, including quantitative analysis, risk management, and algorithmic trading. The curriculum emphasises both foundational principles and cutting-edge tools, ensuring graduates can tackle complex financial challenges. This programme is ideal for those with a strong mathematical background who aim to specialise in finance.

Financial MathematicsStochastic ProcessesRisk ManagementQuantitative FinanceComputational MethodsMathematical FinanceFinancial ModellingNumerical Analysis

What you'll do

  • Develop advanced mathematical and statistical models for financial applications.
  • Apply stochastic analysis techniques to solve complex financial problems.
  • Utilise numerical methods and computational tools to simulate financial markets.
  • Conduct risk assessment and financial forecasting using sophisticated statistical models.
  • Engage in coursework and projects focused on modern financial mathematics principles.
  • Prepare for high-quality careers in the financial industry through specialised training.

Requirements

Degree required: Bachelor of Mathematics or a Bachelor of Science with a major in mathematics or statistics; sufficient mathematical and/or statistical background demonstrated by an average of 65 or above in level III mathematics and/or statistics university courses

Language: English proficiency (not explicitly stated but implied for academic programme)

Instruction: English

Required skills
  • Strong background in mathematics or statistics
  • Proficiency in advanced mathematical techniques
  • Ability to apply stochastic analysis to financial problems
  • Familiarity with numerical methods and computational tools
  • Analytical and problem-solving skills
Nice to have
Experience with financial modelling softwareBackground in econometrics or time-series analysisProgramming skills in languages like Python or R
Eligibility
  • Open to international students
  • No specific residency or nationality restrictions mentioned
  • No age restrictions

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

Deadline: unknown

Applicants must apply through the official UNSW Sydney postgraduate application portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), and a personal statement. Additional documents may be required based on eligibility criteria.

Documents required
  • Academic transcripts (Bachelor’s degree)
  • Proof of English proficiency (if applicable)
  • Personal statement or statement of purpose
  • Curriculum Vitae (CV)
↗Check programme and admissions
Lab
Faculty of Science
UNSW Sydney
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.