Jump to Content

Postgraduate programs


Master of Quantitative Finance (DMQF) (pdf file flyer)


Already have a degree but want a career in the technical side of the finance industry?

This program is designed to provide expertise in quantitative finance at Masters level. A background in Finance is developed and then used to introduce topics of increasing mathematical and financial complexity. The program provides greater quantitative training than degrees typically offered by Schools of Business. At the conclusion of the program, students could apply for positions such as financial analyst or modeller, information analyst, derivatives analyst, risk manager or quantitative analyst. These are jobs that involve risk assessment, forecasting financial results, determining optimal investment strategies, analysing stock and option markets and applying statistical principles in data analysis.

Industry
There is increasing importance in developing Australia as a global financial centre, and consequently, there is a growing need for graduates with the appropriate skills to fill these positions. Companies that employ graduates with these skills include:

These companies are looking to employ individuals with strong analytical, problem solving, quantitative, leadership and communication skills and an interest in technology and business process management. In addition, they seek prospective employees with the ability to create business solutions to complex challenges and to apply both quantitative and qualitative analysis to complex situations.

Professional recognition
Professional accreditation with the Australian Financial Planning Institute and the Securities Institute will be sought, together with registration with the Chartered Financial Analysts Institute.

Entry requirements
Applicants must have a recognised degree in any discipline and must have completed equivalent tertiary courses to the level of both Calculus and Linear Algebra and Statistical Methods (see our online information for further details). If you do not have the requisite background, you will need to address this by studying the certain courses either on campus or externally.

Prerequisites and Co-requisites
The course Financial Theory and Financial Markets must be taken in the first study period as a prerequisite and co-requisite for other mathematically based courses in finance. The course Probability and Survival Models M is a co-requisite for Life Contingencies and Risk Theory, and Derivatives II is a co-requisite for Financial Time Series.

The Masters program duration is 2 years (no fast track available) and  requires the completion of 54 units (12 courses at 4.5 units each) of coursework and has a mid-year intake (July) only.

Dr Malgorzata Korolkiewicz
Program Director
City West Campus
Yungondi Building, room Y3-75
Telephone: +61 8 8302 0448
Fax: +61 8 8302 0765
Email: Malgorzata.Korolkiewicz@unisa.edu.au

Further Information
Further information and the program content  is available from the Master of Quantitative Finance website.


Master of Science (Mathematics) and
Doctor of Philosophy (PhD)


For both degrees, the work takes the form of a thesis which embodies the results of the individual research pursued by the student.  Research students may be offered some part-time teaching to supplement the scholarships.

Some general information about our post-graduate research programs in Mathematics is also available on the post-graduate student information site of our research centre: CIAM.

Further information
Further information can be obtained by writing, e-mailing, faxing or telephoning our Postgraduate Research Degrees Coordinator Dr Jorge Aarao or by visiting the Master of Science (Mathematics) and Doctor of Philosophy (Phd) websites.

Further information on conditions of award for:

 Scholarship information is available from the Research Degrees  homepage.

Applications for postgraduate research programs can now be made online.


Research topics

The staff and post graduate students are actively engaged in research on the following topics: 

Applied and Industrial Mathematics Group

Applied Statistics Group

Environmental Mathematics Group

Financial Mathematics and Econometrics Group

Mathematical Analysis, Dynamical Systems and Optimisation Group

Operations Research Group

Scheduling and Control Group 

top^