University of Technology SydneyHandbook 2007

C06091v2 Graduate Diploma in Mathematics for Finance

Award(s): Graduate Diploma in Mathematics for Finance (GradDipMathFin)
UAC code: 942727 (Autumn semester), 945727 (Spring semester)
CRICOS code: 059843C
Load credit points: 48
Course EFTSL: 1
Faculty/institute responsible: Science

Note(s)

Mid-year (Spring) entry is only available on a part-time basis.


Overview
Course aims
Articulation
Additional admission requirements
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

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.

Course aims

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.

Articulation

Subject to elective choices, the successful completion of the Graduate Diploma will enable its graduates to proceed into the Graduate Diploma in Quantitative Finance (C07023) or the Master of Quantitative Finance (C04052).

Additional admission requirements

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).

Course duration and attendance

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.

Course structure

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.

Course completion requirements

35212 Linear Algebra 6cp
35252 Statistics 2 6cp
35241 Optimisation 1 6cp
35353 Regression Analysis 6cp
Select 24 credit points from the following options: 24cp
35361 Probability and Stochastic Processes6cp 
35467 Time Series Analysis6cp 
35322 Analysis 26cp 
35342 Optimisation 26cp 
35281 Numerical Methods6cp 
35321 Analysis 16cp 
Total 48cp

Course program

The example program below shows full-time attendance for Autumn-commencing students.

 
Year 1
Autumn semester
35212 Linear Algebra 6cp
35241 Optimisation 1 6cp
35252 Statistics 2 6cp
35321 Analysis 1 6cp
Spring semester
35353 Regression Analysis 6cp
Select 18 credit points from the following options: 18cp
35281 Numerical Methods6cp 
35342 Optimisation 26cp 
35361 Probability and Stochastic Processes6cp 
35322 Analysis 26cp 
35467 Time Series Analysis6cp 

Other information

Further information is available from: