MJRU-FNMAT v.2 Financial Mathematics Major (BSc Science)

This major/stream is part of a larger course. Information is specific to the major/stream, please refer to the course for more information.

Mathematics is the study of concepts such as quantity, structure, space and change and to use these concepts to model and describe the behaviour of real world complex systems. It has been described as the science of patterns, whether found in numbers, space, science, engineering, computers, imaginary abstractions, or elsewhere. Through abstraction and logical reasoning, mathematics evolved from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Today, mathematics is used in most fields, including technology, natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. This Financial Mathematics Major provides graduates with a broad range of analytical and mathematical skills, with particular relevance to statistical modelling and operations research, in the financial context. Students will receive a strong grounding in corporate finance, financial institution, financial markets and various branches of the financial services industry, enhancing the employment prospects of graduates in the technological, industrial and commercial sectors. Students may select from units in accounting, economics and business.

Career Opportunities

Employment prospects are good as mathematics graduates have high level problem-solving skills. Mathematics can be a stepping stone to a wide and diverse career. Our graduates have moved on into many different areas of employment such as finance, government, industry, defence and research as many employers are keen to employ people with a good background in mathematics. Amongst the other careers, this course can help you become a: Logistics Clerk; Mathematician; Statistician; Financial Dealer and Broker; Data Analyst/Scientist; Information Technologist; Logistics Analyst; Project Analyst/Manager; Risk Management; Scheduler; Statistical Analyst; Supply Chain Management; Market Analyst; Games Designer; Meteorologist.

This Major is designed to provide graduates with a broad range of analytical and mathematical skills with particular relevance to statistical modelling and operations research. This together with an overview of corporate finance, financial institutions, financial markets and various branches of the financial services industry, enhances their employment prospects in the technological, industrial and commercial sectors.

Major/Stream Learning Outcomes

A graduate of this course can:

1. understand and apply mathematical and statistical principles and concepts in a range of mathematical disciplines such as operations research, statistics, numerical analysis or applied mathematical modelling, and to solve problems relevant to science, industry, commerce and government

2. apply mathematics and statistical methods to critically analyse problems in finance and to think creatively to generate innovative solutions

3. locate, extract and critically appraise relevant evidence and scientific literature in relation to mathematical science

4. communicate effectively within the context of mathematical science through the written word and by oral presentation

5. use new technologies to effectively gather data and communicate information

6. understand the theoretical framework of mathematical science and work as a responsible, reflective, self-directed and motivated lifelong learner

7. be aware of the diversity of international perspectives and apply international standards of practice within their profession as a mathematical scientist in the financial services industry

8. understand cultural diversity and how it impacts a mathematician in the financial services industry

9. display professional behaviour both independently and as a team member through the use of recognised ethical practices in the financial service industries

Duration and Availability

This Major is three years' full-time study or equivalent part-time study.

YEAR 1 SEMESTER 1

YEAR 1 SEMESTER 2

YEAR 2 SEMESTER 1

YEAR 2 SEMESTER 2

YEAR 3 SEMESTER 1

YEAR 3 SEMESTER 2