Modern finance heavily relies on mathematical modelling, for instance managing investment portfolios, financial planning, pricing of financial products, or analysing business risk. The UNSW Master of Financial Mathematics program offers high-level training in principles of modern finance and its mathematical foundations, stochastic analysis, risk assessment, and relevant computational techniques.???�
Overview
- Program Code
8161
- CRICOS Code
058739M
- Total units of credit (UOC)
72
- Campus
Kensington
- Indicative Enrolments
45
Why choose this degree?
This degree provides the financial sector (banks, insurance companies, investment companies) with a stream of highly trained specialists in quantitative finance.It will equip you with a range of in-demand skills, as well as providing the necessary preparation for further research in financial mathematics.
Who should choose this degree?
It is suitable for students who combine an aptitude for mathematics and statistics with a keen interest in finance, and are looking for a route to a high quality career in the financial industry.
Degree Structure
Degree HandbookCareer Opportunities
- Financial Planner
- Financial Trader
- Financial Consultant
- Bank Manager
- Investment Banker
- Insurance Specialist
- Quantitative Analyst
- Risk Analyst
Entry requirements
To gain entry to this program, students must:
- Have completed a Bachelor of Mathematics or a Bachelor of Science undergraduate degree with a major in mathematics or statistics; and
- Have sufficient mathematical and/or statistical background, as indicated by an average of 65 or above in level III mathematics and/or statistics university courses.
In addition, students must have permission of the Head of School or Nominee to be admitted into the program.
Advanced Standing:
Honours graduates in Mathematics or Statistics from UNSW (or equivalent) may receive advanced standing of up to a maximum of 24 UOC and may complete the degree within 48 UOC, or one year of full time study.
Students with a Graduate Diploma in Mathematics and Statistics from UNSW with a weighted average mark of 70 or more may receive advanced standing of up to a maximum of 48 UOC and may complete the degree with 24 UOC, or 0.5 year of full time study. The specific advanced standing to be awarded will be determined at the time of admission and will be based on the student's background and previous study.
How to apply
Applications must be submitted through our Apply Online portal. We encourage you to submit your completed application as early as possible to ensure it will be processed in time for your preferred term.
Some high-demand programs with limited places may have an earlier application deadline or commencement date. Find out more.
Fees
- 2021 Indicative First Year Fee
$31,200^*
- 2021 Indicative Fee to Complete Degree
$46,920^*
^There is a limited number of Commonwealth Supported Places available for this degree. The indicative tuition fee for domestic postgraduate students shown is for fee paying students, not students in Commonwealth Supported Places. To find out more about the student contribution amounts for Commonwealth Supported Places visit Postgraduate Commonwealth Support.
*Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year. The indicative fees listed here are based on an estimated average and are for tuition only other fees and charges are not included. The amount you pay will vary depending on the calendar year to enrol, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (8 courses per year). Indicative fees are a guide for comparison only based on current conditions and available data. You should not rely on indicative fees. More information on fees can be found at the UNSW fees website.
Indicative fees to complete the program have been calculated based on a percentage increase for every year of the program. Fee increases are assessed annually and may exceed the indicative figures listed below.