Program Overview
The Master of Financial Mathematics program at UNSW equips students with advanced mathematical modeling skills for careers in finance and government. The program combines theoretical knowledge with practical applications, focusing on investment portfolio management, financial planning, and financial product pricing. Graduates develop critical thinking and communication abilities, preparing them for roles as financial analysts, risk managers, and other professionals in the financial sector.
Program Outline
Degree Overview:
The Master of Financial Mathematics program at UNSW provides students with the necessary skills and knowledge to enter the financial sector and government financial institutions. The program focuses on mathematical modeling to manage investment portfolios, financial planning, and pricing of financial products. The program is designed for students with an aptitude for mathematics and a keen interest in finance. Upon completion of the program, graduates will be equipped with the ability to communicate complex issues effectively to a range of audiences and develop advanced critical thinking skills.
Outline:
The Master of Financial Mathematics is a 1.7-year full-time program consisting of 10 courses, including five core courses and five electives. Students are also required to complete a compulsory supervised research project.
Core Courses:
- Advanced Stochastic Processes
- Introduction to Stochastic Analysis
- Discrete Time Financial Modelling
- Computational Mathematics for Finance
- Continuous Time Financial Modelling
Elective Courses (Select five):
- Optimisation
- Special Topics in Applied Mathematics A
- Special Topics in Applied Mathematics B
- Fluids, Oceans and Climate
- Special Topics in Applied Mathematics D
- Computational Mathematics for Science and Engineering
- Graph Theory
- Combinatorics
- Special Topics in Pure Mathematics A
- Special Topics in Pure Mathematics B
- Special Topics in Pure Mathematics C
- Functional Analysis
- Banach and Operator Algebras
- Number Theory
- Algebraic Topology
- Complex Analysis
- Modern Analysis
- Harmonic Analysis
- Galois Theory
- Modules and Representation Theory
- Special Topics in Statistics
- Applied Regression Analysis
- Continuous Time Financial Modelling
- Measure, Integration and Probability
- Statistical Methods in Epidemiology
- Advanced Stochastic Processes
- Data Mining and its Business Applications
- Time Series
- Multivariate Analysis
- Longitudinal Data Analysis
- Nonparametric Statistics
- Statistical Inference
- Design & Analysis of Clinical Trials
- Survival Analysis
- Categorical Data Analysis
- Bayesian Inference and Computation
- Discrete Time Financial Modelling
- Introduction to Stochastic Analysis
- Term Structure Modelling
Teaching:
The Master of Financial Mathematics program is taught by experienced faculty members who are actively involved in research in the field of financial mathematics. The program emphasizes a combination of theoretical knowledge and practical applications. Students are encouraged to actively participate in class discussions and engage in independent research projects.
Careers:
Graduates of the Master of Financial Mathematics program are well-prepared for a variety of careers in the financial sector and government financial institutions. Potential career paths include:
- Financial analyst
- Quantitative analyst
- Risk manager
- Portfolio manager
- Actuary
- Financial consultant
- Government economist
