309706 v.1 Master of Science (Actuarial and Financial Science)
MSc(Curtin)
This course is pending registration for International Onshore Students on Student Visas. Please contact the Curtin International Office to determine availability for International students.
Introduction
The course is designed to provide graduates with a solid foundation of financial mathematics and actuarial science, and to prepare them for employment as financial advisors to a wide range of commercial organisations including insurance companies, investment and superannuation funds, banks and stockbrokers, as well as governments.
Course Entry Requirements/Prerequisites
An Honours degree or a four-year Bachelor degree in mathematics/statistics, science, engineering or finance. In addition, applicants must have basic mathematics and statistical background and competence equivalent to at least the level of Advanced Calculus 201(unit code: 8127), Linear Algebra 202 (8128) and Statistical Methods 560 (301350). Unit information is available in the Online Handbook.
Recognition of Prior Learning
Applications for recognition of prior learning are assessed on an individual basis.
Duration and Availability
This fee paying course is one and a half years full-time or equivalent part-time study. Two intakes are offered each year, in March and August.
Course Organisation
This course is available to both international and domestic students. The course covers a wide range of advanced studies in applied statistics, actuarial finance and investment science. Students must complete 12 units including the Masters Project 503 and at least five other core units, totalling 300 credits.
Professional Recognition
Graduates are eligible for membership of the Australian mathematical society.
Career Opportunities
Graduates generally find employment with insurance companies, investment and superannuation funds, banks and stockbrokers, and governments.
Additional Course Expenses
Students may be expected to purchase a number of textbooks, readers and other vital study materials.
Course Structure |
Hrs/Wk |
Credit |
Year 1 |
12752 |
v.3 |
*# |
Finance (Corporate) 572 |
3.0 |
25.0 |
12754 |
v.3 |
*# |
Finance (Derivative Securities) 574 |
3.0 |
25.0 |
305813 |
v.3 |
|
Finance (Principles) 515 |
3.0 |
25.0 |
309804 |
v.1 |
* |
Investment Science 501 |
4.0 |
25.0 |
309805 |
v.1 |
* |
Life Contingencies 501 |
4.0 |
25.0 |
309809 |
v.1 |
* |
Risk Analysis and Credibility Theory 502 |
4.0 |
25.0 |
309811 |
v.1 |
* |
Survival Analysis 501 |
4.0 |
25.0 |
309812 |
v.1 |
* |
Theory of Interest 502 |
4.0 |
25.0 |
|
SELECT 3 OPTIONS |
|
75.0 |
|
275.0 |
Year 2 Semester 1 |
309813 |
v.1 |
|
Masters Project 503 |
1.0 |
25.0 |
|
25.0 |
|
Optional Units (No Year Level Specified) |
Hrs/Wk |
Credits |
4469 |
v.4 |
|
Applied Statistics 503 |
3.0 |
25.0 |
5910 |
v.4 |
|
Stochastic Processes 501 |
3.0 |
25.0 |
6121 |
v.5 |
|
Advanced Optimisation Techniques 501 |
3.0 |
25.0 |
6125 |
v.6 |
|
Numerical Methods 501 |
3.0 |
25.0 |
12753 |
v.3 |
|
Finance (International) 573 |
3.0 |
25.0 |
301337 |
v.3 |
|
Finance (Analysis) 506 |
3.0 |
25.0 |
304193 |
v.3 |
|
Time Series Modelling 504 |
3.0 |
25.0 |
304235 |
v.4 |
|
Stochastic Financial Modelling 503 |
3.0 |
25.0 |
309022 |
v.1 |
|
Practical Financial Modelling 502 |
3.0 |
25.0 |
309803 |
v.1 |
|
Actuarial Statistics 501 |
4.0 |
25.0 |
309806 |
v.1 |
|
Life Contingencies 502 |
4.0 |
25.0 |
309807 |
v.1 |
|
Mathematical Statistics 503 |
4.0 |
25.0 |
309808 |
v.1 |
|
Principles of Technical Consulting 502 |
3.0 |
25.0 |
309810 |
v.1 |
|
Statistical Inference 501 |
4.0 |
25.0 |
|
* |
Students must do a minimum of 5 core units and may substitute a maximum of 2 core units with listed options. |
*# |
Students who do not have a finance background and competence equivalent to Finance (Principles) 515, 305813, must first complete Finance (Principles) 515 to enrol in this unit. |
NB |
Other Mathematics/Finance options may be undertaken subject to consultation with and approval of the course coordinator. |
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AvailabilityAvailability Information has not been provided by the respective School or Area. Prospective/current students should contact the School or Area listed above for further information.
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