GraduateMathematics
Master of Financial Mathematics
Monash University, Melbourne, VIC, Australia
About this program
Monash's Master of Financial Mathematics teaches the advanced mathematical techniques that underpin modern quantitative finance, drawing on genuine expertise across economics, econometrics, finance and mathematics departments rather than treating financial mathematics as a single narrow specialty. Students build understanding of stochastic and statistical analysis, partial differential equations, computational methods in finance, financial econometrics and risk modelling, developing the quantitative, statistical and computing skills financial institutions specifically look for in quantitative roles. Close relationships with banks, investment firms and financial research organisations keep the curriculum aligned with what the industry actually needs rather than purely academic mathematical theory. It suits graduates with a strong mathematics or statistics background who want to move into quantitative finance, risk modelling or actuarial-adjacent roles, and it assumes a genuinely technical mathematical foundation rather than being accessible to students without strong prior quantitative training.
Fees & duration
English test scores
Verified monash.edu ↗
Course structure
The course comprises 96 points structured into three parts
- 24 pointsPart A. Orientation studies
- Part B. Specialist studies (48 points) and Part C. Applied professional practice (24 points). Units are 6 points unless otherwise stated. Part A: Advanced preparatory studies (24 points) You must complete: MTH3251 Financial mathematics And one of the following units: MTH3241 Random processes in the sciences and engineering MTH3260 Statistics of stochastic processes Additional preparatory studies You must complete 12 credit points from the following units OR 6 credit points from from the following units and 6 credit points from the Advanced preparatory studies above
- excluding units previously completed. ETC3400 Principles of econometrics ETC3420 Applied insurance methods ETC3460 Financial econometrics MTH3140 Real analysis MTH3320 Computational linear algebra MTH3330 Optimisation and o..
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
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Admissions
Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-time An Australian bachelor degree (or equivalent) with a strong mathematical content* with at least a 65% credit average. *i.e. Completion of units of mathematics with an emphasis on multivariable calculus, linear algebra, probability, statistics and differential equations. Entry level 2: Duration: 72 points to complete 1.5 years full-time, 3 years part-time An Australian bachelor degree (or equivalent) in mathematics with at least a 65% credit average or An Australian graduate certificate/diploma (or equivalent) with a strong mathematical content* with at least a 65% credit average. *I.e. Completion of units of mathematics with an emphasis on multivariable calculus, linear algebra, probability, statistics and differential equations. Entry level 3: 48 points to complete Duration: 1 years full-time, 2 years...
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