Master of Financial Mathematics
University of Wollongong
About
The Master of Financial Mathematics provides a range of analytic, modelling, statistical and computational skills that can be applied directly to business and industry.
Training is also provided in the high demand area of quantitative financial analysis, exposing students to the way in which the discipline is used in this field.Students will attain the practical skills needed to be leaders and researchers in the formulation, implementation and evaluation of the models used by the financial sector to structure transactions, manage risk and construct investment strategies.
Structure
The degree will normally occupy four (4) sessions of full-time study or eight (8) sessions of part-time study, and requires satisfactory completion of at least 96 credit points, as set out in the course program below. All candidates (including those who receive recognition of prior learning) must complete at least 48 credit points of 900 level subjects.
Each candidate shall have a project supervisor appointed on the recommendation of the Academic Program Director of the Master of Financial Mathematics.
Year 1
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| MTH8201 | Multivariate and Vector Calculus | 6 | Autumn |
| MTH8202 | Differential Equations: Analysis and Aplication | 6 | Autumn |
| MTH8206 | Random Variables and Estimation | 6 | Autumn |
| MTH8207 | Statistical Inference and Introduction to Model Building | 6 | Spring |
| MATH907 | Research Methods | 6 | Autumn |
| FIN 921 | Managerial Finance | 6 | Trimester 1, Trimester 2, Trimester 3 |
Plus ONE of the following subjects:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| FIN 923 | Portfolio Management | 6 | Trimester 1, Trimester 2, Trimester 3 |
| FIN 957 | Portfolio Simulation | 6 | Trimester 2, Trimester 3 |
Plus:
One 900-level FIN subject 6
Year 2
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| MATH991 | Project | 12 | Annual, Spring 2020/Autumn 2021 |
| MATH817 | Financial Mathematics (Enhanced) | 6 | Autumn |
| MATH942 | Numerical Methods in Finance | 6 | Spring |
| MATH943 | Practitioners' Seminars | 0 | Annual |
| STAT920 | Stochastic Methods in Finance | 6 | Not available in 2020 |
| STAT832 | Generalised Linear Models (Enhanced) | 6 | Autumn |
| FIN 926 | Advanced Managerial Finance | 6 | Trimester 1, Trimester 2, Trimester 3 |
| STAT804 | Stochastic Methods in Statistical Analysis (Enhanced) | 6 | Spring |
*Students who have an approved major in mathematics may be exempt from some of these subjects. Please apply to the Academic Program Director of the Master of Financial Mathematics.
**Students who have an approved Honours degree in mathematics or statistics may be exempt from some of these subjects. Please apply to the Academic Program Director of the Master of Financial Mathematics.
Learning outcomes
Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able:
CLO Description 1 To demonstrate advanced and integrated understanding of a complex body of knowledge in mathematics, statistics and finance. 2 To exhibit expert, specialised cognitive and technical skills in mathematics, statistics and finance. 3 To independently analyse, critically reflect on and synthesise complex information, problems and theories. 4 To interpret and transmit financial, mathematical and statistical knowledge, skills and ideas to specialist and non-specialist audiences. 5 To employ mathematical and statistical knowledge to professional practice in finance. 6 To apply knowledge and skills ethically to demonstrate autonomy and expert judgement as a financial mathematician.
Institution
