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Financial Mathematics - 8161

Program Summary

   
   
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Typical Duration: 1.5 Years
 
 
Typical UOC Per Semester: 24
 
 
Min UOC Per Semester: 8
 
 
Max UOC Per Semester: 24
 
 
Min UOC For Award: 72
 
 
Award(s):
 
 
Master of Financial Mathematics
 
  

Program Description

The program is intended for students who have completed Mathematics or Statistics degree in a Science and/or Mathematics program, or a degree in a related area, and who wish to further their knowledge of mathematical finance and statistics. The program offers intensive, high-level training in principles of financial modelling and its mathematical foundations, statistical techniques, risk assessment, and computational techniques of financial mathematics. The program was introduced in 2007 in order to provide students with a route to high quality careers in the financial industry and to provide the financial sector with a stream of highly trained specialists in Quantitative Finance.

Entry Requirements
To gain entry to this program, students must have:
1. completed a Mathematics or Statistics degree in a Science and/ or Mathematics program, or a degree in a related area;
2. sufficient mathematical/statistical background, and an average above 65% in the relevant level III courses; and
3. shown some evidence of the ability to undertake independent study.

A formal application must be made by applying
through this online link.

Honours graduates in Statistics may be exempted from a maximum of one third of the courses and could complete the degree in one year of full time study.

In addition, students must have permission of the Head of School or Nominee. Qualifying programs are available for students who do not meet the standard entry requirements. Prospective international students should note that this program has English language requirements.

Program Objectives and Learning Outcomes

The program is oriented towards graduates with a degree in an area with a significant quantitative component (such as Science,
Engineering, Finance) who wish to develop their knowledge and skills in mathematical, statistical and computational methods applied to modern finance. It is an appropriate program for graduates who wish to work as quantitative financial analysts with investment banks, hedge funds, insurance companies, consulting firms, and other financial institutions. The program is ambitious and oriented towards highly motivated students with a strong quantitative background.

The program focuses on the following skills:
  • a sound grasp of the key concepts and methodologies of modern financial theory and related mathematical techniques,
  • ability to apply the principles of finance, combined with knowledge of statistics and probability theory, to such topics as:
  • modelling of market phenomena, computing prices of financial products, measuring and controlling financial risk,
  • use of computer software, such as MATLAB, R, SPLUS and SAS, to perform computation of prices and hedges and statistical analysis of
  • financial data,
  • application of the knowledge and skills acquired to real-life problems arising in financial markets.

Program Structure

The program consists of ten lecture courses worth 6 UOC each, and a supervised project worth 12 UOC MATH5001. The project is compulsory and students are typically enrolled in it in two consecutive semesters. The total number of UOC required for the program is 72. Part-time students are expected to complete the project in two consecutive semesters.
The project will be supervised by an academic staff member of the School in an area agreed to by the student and supervisor. The project could include a literature survey and a critical analysis of the topic area; or could be a small research project.

The core set of compulsory courses, listed below, is designed to give a deep knowledge of the fundamentals of financial mathematics with the special emphasis on financial modelling and pricing of financial derivatives.
Students may choose the remaining courses from a list of elective graduate level courses refer to the School of Mathematics and Statistics web site but in any given year only a subset of these courses is offered. The courses to be offered in each year are described on the School's web site. Each candidate's proposed program of study requires the approval of the Head of the School or Nominee.

Academic Rules

Please refer to the Program Structure above and contact the School office for more information.

Fees

For information regarding fees for UNSW programs, please refer to the following website:  https://my.unsw.edu.au/student/fees/FeesMainPage.html


Area(s) of Specialisation

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.