GraduateBusiness
Master of Actuarial Studies
Monash University, Melbourne, VIC, Australia
About this program
Monash's Master of Actuarial Studies prepares students for accredited actuarial practice, with a curriculum built around the technical requirements of the Actuaries Institute rather than general business management. Depending on your prior mathematics and statistics background you enter at one of three credit-point levels, working through core units in actuarial practice and machine learning before choosing discipline electives in areas like life insurance mathematics, financial econometrics, quantitative finance and applied forecasting. Strong academic results can bring accreditation for the Institute's Foundation Program and much of its Actuary Program, shortening the path to becoming a fully qualified actuary after graduation. Because actuarial accreditation depends on covering specific technical content, the course requires an introductory statistics unit and first-year calculus or algebra as prerequisites, and it suits graduates from mathematics, statistics, econometrics, finance, economics or engineering backgrounds more than general commerce graduates. Career paths typically lead into insurance, superannuation, risk consulting and financial modelling roles across the business and financial services sectors.
Fees & duration
English test scores
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Course structure
- The course comprises 96 credit points structured into four parts: Part A. Advanced preparatory (24 credit points)
- Part B. Core studies (18 credit points)
- Part C. Discipline studies (42 credit points) and Part D. Elective studies. Part A. Advanced preparatory studies (24 credit points) You must complete four units from the following (24 credit points): ACF5950 Introduction to financial accounting BFC2140 Corporate finance ETC2410 Introductory econometrics ETC2430 Actuarial cash flow modelling ECX5953 Economics Part B. Core studies (18 credit points) You must complete the following three units. ETC4110 Actuarial practice 1 ETC4120 Actuarial practice 2 ETC5250 Introduction to machine learning Part C. Discipline studies (42 credit points) You must complete seven units from the following list (42 credit points): ETC5252 Probability and statistical inference for economics and business* ET..
Career & PR pathway
Which careers in Business lead to skilled migration depends on the occupation, not the degree title. See the skilled occupation lists guide for which occupations are on each list, and the points calculator to check where you stand.
Admissions
Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-time An Australian bachelor degree (or equivalent) with at least a high credit (65%) average or an equivalent GPA, and must have passed an introductory statistics unit or equivalent, and a 1st year Calculus or Algebra unit, or equivalent. Entry level 2: 72 points to complete Duration: 1.5 years full-time, 3 years part-time An Australian bachelor degree (or equivalent) in a cognate discipline* with at least a high credit (65%) average or an Australian graduate certificate in a cognate discipline* with at least a high credit (65%) average or qualifications and experience approved by the faculty. Entry level 3: 60 points to complete Duration: 1.5 years full-time, 3 years part-time An Australian bachelor honours degree (or equivalent) in a cognate discipline* with at least a high credit (65%) average or qualifi...
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