GraduateMathematics
Master of Financial Mathematics
UNSW Sydney, Sydney, NSW, Australia
About this program
UNSW's Master of Financial Mathematics offers intensive, high-level training in financial modelling and its mathematical foundations, statistical techniques, risk assessment and computational finance methods, built specifically as a route into high-quality careers in the financial industry. The program was designed to supply the financial sector with highly trained quantitative finance specialists, while also preparing students for further research in mathematical finance if they choose to continue academically. It suits mathematics, statistics or related quantitative graduates who want to specialise specifically in quantitative finance rather than a general finance master's degree, positioning graduates for roles as quantitative analysts, risk modellers or derivatives specialists in banking and financial services. The program's genuine mathematical depth distinguishes it from business-school finance degrees that treat quantitative technique as a secondary skill.
Fees & duration
English test scores
Verified unsw.edu.au ↗
Course structure
- MATH5335Computational Mathematics for Finance
- MATH5816Continuous Time Financial Modelling
- MATH5835Advanced Stochastic Processes
- MATH5965Discrete Time Financial Modelling
- MATH5975Introduction to Stochastic Analysis. Electives: ACCT5910 Business Analysis and Valuation
- ACCT5930Financial Accounting
- ACTL5105Life Insurance and Superannuation
- ACTL5301Quantitative Risk Management Techniques
- ACTL5302Risk and Capital Management
- COMP6714Information Retrieval and Web Search
- COMP9021Principles of Programming
- COMP9024Data Structures and Algorithms
- COMP9044Software Construction: Techniques and Tools
- COMP9153Algorithmic Verification
- COMP9311Database Systems
- COMP9313Big Data Management
- COMP9417Machine Learning
- COMP9418Advanced Machine Learning
- COMP9444Neural Networks and Deep Learning
- COMP9801Extended Algorithm Design and Analysis
- DATA5002Data Vis..
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
Recognition of Prior Learning (RPL) is the transfer of credit towards a program from another degree. The following policy applies to students with degrees from other institutions and students with an undergraduate degree from UNSW. In limited cases, students with previous postgraduate or honours-level coursework, including Honours graduates from UNSW, may receive advanced standing/recognition of prior learning. Advanced standing is limited to a maximum of 24 UoC. Students who receive the maximum 24 UoC may complete the degree with 48 UoC, or one year of full-time study. Advanced standing will only be granted for courses at the honours or postgraduate level, not courses at the undergraduate level. Students must apply for advanced standing and the School of Mathematics and Statistics will determine if the student's completed coursework is deemed equivalent to UNSW counterparts. Advanced...
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