This is a specialised professional finance course for those wishing to develop quantitative analytical skills in finance, skills required in working with corporate treasurers, fund managers, futures traders, risk managers and stockbrokers. The focus is on the finance and mathematical fundamentals required for pricing of financial products as well as financial time series techniques and their application to financial markets.
A bachelor degree from a recognised tertiary education institution majoring in a discipline other than finance.
Applications for recognition of prior learning are assessed on an individual basis.
This fee paying course is three semesters full-time or equivalent part-time study. Depending on their previous field of study, students may be required to complete up to four additional foundation units before commencing the first stage.
Students may be expected to purchase a number of textbooks, readers and other essential study materials.
Course Structure |
Hrs/Wk |
Credit |
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Year 1 Semester 1 |
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301344 | v.2 | Probability Concepts 570 | 4.0 | 25.0 | |
303934 | v.3 | Financial Statement Analysis 579 | 3.0 | 25.0 | |
305813 | v.3 | Finance (Principles) 515 | 3.0 | 25.0 | |
SELECT 1 OPTION | 25.0 | ||||
100.0 | |||||
Year 1 Semester 2 |
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10225 | v.6 | Introduction to Programming Environments 502 | 4.0 | 25.0 | |
OR | |||||
6125 | v.6 | Numerical Methods 501 | 3.0 | 25.0 | |
12751 | v.3 | Finance (Portfolio Management) 571 | 3.0 | 25.0 | |
SELECT 2 OPTIONS | 50.0 | ||||
100.0 | |||||
Year 2 Semester 1 |
|||||
12754 | v.3 | Finance (Derivative Securities) 574 | 3.0 | 25.0 | |
304235 | v.4 | Stochastic Financial Modelling 503 | 3.0 | 25.0 | |
SELECT 2 OPTIONS | 50.0 | ||||
100.0 | |||||
Optional units (No year level specified) | Hrs/Wk | Credits | |||
4469 | v.4 | + | Applied Statistics 503 | 3.0 | 25.0 |
4474 | v.3 | + | Mathematical Methods 502 | 3.0 | 25.0 |
4475 | v.4 | + | Operations Research 503 | 3.0 | 25.0 |
4476 | v.4 | + | Operations Research 504 | 3.0 | 25.0 |
10982 | v.5 | # | Finance (International) 569 | 4.0 | 50.0 |
12753 | v.3 | # | Finance (International) 573 | 3.0 | 25.0 |
13320 | v.3 | # | Finance (Professional Experience) 511 | 3.0 | 25.0 |
13508 | v.3 | + | Econometrics 513 | 4.0 | 25.0 |
13618 | v.3 | + | Financial Econometrics 575 | 4.0 | 50.0 |
301337 | v.3 | # | Finance (Analysis) 506 | 3.0 | 25.0 |
302129 | v.2 | # | Accounting (Financial) 510 | 3.0 | 25.0 |
303937 | v.3 | # | Finance (Advanced Investment Analysis) 578 | 4.0 | 50.0 |
304193 | v.3 | + | Time Series Modelling 504 | 3.0 | 25.0 |
304234 | v.2 | + | Probability and Statistics Topics 501 | 3.0 | 25.0 |
304255 | v.3 | # | Finance (Trading Strategies) 590 | 3.0 | 25.0 |
306365 | v.2 | # | Economics (Asian-Pacific Markets) 500 | 3.0 | 25.0 |
307795 | v.1 | # | Economics (Principles) 515 | 3.0 | 25.0 |
310533 | v.1 | + | Statistical Data Analysis 501 | 3.0 | 12.5 |
310534 | v.1 | + | Statistical Data Analysis 502 | 3.0 | 12.5 |
# | Finance options. One must be selected in Year 1, Semester 2 and Year 2 Semester 1. (Total of two finance units) | ||||
+ | Quantitative options. One must be selected in each semester. (Total of three quantitative units) | ||||
Availability 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.