Mid-year (Spring) entry is only available on a part-time basis.
Modern financial practice frequently requires knowledge and skills in mathematics that many employees have not acquired in their undergraduate degree. As a consequence, there is demonstrated and continuing demand for specialists trained in mathematics. The Graduate Diploma in Mathematics for Finance seeks to address this need by providing knowledge and skills in key areas of mathematics relevant to the theory and practice of finance. Flexibility is provided through elective choice.
This course is designed to develop the necessary skills for the construction, solution and analysis of models that answer quantitative problems in finance for graduates from business or commerce disciplines.
Applicants should have a Bachelor's degree from UTS or other recognised institution and are expected to have knowledge in mathematics comparable with the first-year subjects in the Department of Mathematical Sciences at UTS. Applicants who do not satisfy the second of these requirements may consider enrolment in the Graduate Certificate in Mathematical Sciences (C11147).
For applicants enrolling in Autumn semester, the course is offered on a full-time basis normally over two semesters, or on a part-time basis normally over four semesters. For applicants enrolling in Spring semester, the course is only offered on a part-time basis over four semesters. Applicants should be aware that subjects may require attendance at daytime classes.
Students are required to complete 48 credit points, comprising four core subjects and four electives. Elective subjects can be chosen from the list of options below but are not limited to it. Elective choice should be consistent with the aims of the program and must be approved by the Course Director, Postgraduate Programs. Students may elect to undertake up to two subjects offered by the Faculty of Business.
| 35212 Computational Linear Algebra | 6cp | |
| 35252 Mathematical Statistics | 6cp | |
| 35241 Optimisation in Quantitative Management | 6cp | |
| 35353 Regression Analysis | 6cp | |
| Select 24 credit points from the following options: | 24cp | |
| 35361 Stochastic Processes | 6cp | |
| 35467 Time Series Analysis | 6cp | |
| 35322 Advanced Analysis | 6cp | |
| 35342 Nonlinear Methods in Quantitative Management | 6cp | |
| 35281 Numerical Methods | 6cp | |
| 35321 Analysis 1 | 6cp | |
| Total | 48cp |
The example program below shows full-time attendance for Autumn-commencing students.
| Year 1 | ||
| Autumn semester | ||
| 35212 Computational Linear Algebra | 6cp | |
| 35241 Optimisation in Quantitative Management | 6cp | |
| 35252 Mathematical Statistics | 6cp | |
| 35321 Analysis 1 | 6cp | |
| Spring semester | ||
| 35353 Regression Analysis | 6cp | |
| Select 18 credit points from the following options: | 18cp | |
| 35281 Numerical Methods | 6cp | |
| 35342 Nonlinear Methods in Quantitative Management | 6cp | |
| 35361 Stochastic Processes | 6cp | |
| 35322 Advanced Analysis | 6cp | |
| 35467 Time Series Analysis | 6cp | |
Subject to elective choices, the successful completion of the Graduate Diploma enables graduates to proceed into the Graduate Diploma in Quantitative Finance (C07023) or the Master of Quantitative Finance (C04052).
Further information is available from: