GraduateMathematics
Graduate Diploma in Financial Mathematics
University of Queensland, Brisbane, QLD, Australia
About this program
The Graduate Diploma in Financial Mathematics is a one-year postgraduate program at UQ's St Lucia campus that develops advanced analytical skills for complex financial problems. Students study topics such as financial contract pricing, portfolio management, capital adequacy, firm valuation, and optimal capital and contract management, with a diverse range of courses that can be tailored to their goals. Graduates work in investment banks, corporate risk units, insurance firms, fund managers, regulatory bodies and trading companies.
Fees & duration
English test scores
Verified study.uq.edu.au ↗
Course structure
- UQ calls subjects "courses" within this program. A sample of what you will study includes: Financial Calculus [Core course]
- Computation in Financial Mathematics [Core course]
- Corporate Finance [Elective]
- Applied Econometrics for Macroeconomics and Finance [Elective]
- Portfolio Management [Elective]
- Advanced Techniques and Applications [Elective]
- Optimisation Theory [Elective]. The exact course list and any core versus elective structure depends on the specialisation and study plan you choose
- and is confirmed in the program's official course list at enrolment
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
To be eligible for entry, you'll need: a bachelor's degree (or equivalent) in any discipline with first-year, university-level mathematics (including single-variable and multi-variable calculus, ordinary differential equations, and linear algebra), or 5 years of full-time equivalent, relevant work experience in data science, financial mathematics, mathematics, engineering or information technology. You must have a grade point average (GPA) of 4.5 on a 7-point scale in your previous qualification.
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