Bachelor of Mathematics and Finance (Honours)
University of Wollongong
About
Advanced skills in mathematics are essential to good decision-making in the world of finance.
Graduates of this course have the skills to apply sophisticated mathematical and statistical techniques to real-world problems and are also encouraged to develop computing and communication skills, which are an asset in the employment market.Students may complete the Bachelor of Mathematics and Finance (Honours) degree either with no declared major or with a declared major.
The available majors are:
Structure
Students who enrol in the Bachelor of Mathematics and Finance (Honours) are required to satisfactorily complete at least 192 credit points of subjects, consisting of:
a. The following 120 credit points of core subjects;
100-level
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| ACCY111 | Accounting Fundamentals In Society | 6 | Autumn, Spring |
| ACCY112 | Accounting In Organisations | 6 | Autumn, Spring, Summer 2020/2021 |
| FIN 111 | Introductory Principles of Finance | 6 | Autumn, Spring, Summer 2020/2021 |
| MATH100 | Introduction to Mathematics | 6 | Autumn |
| MATH187 | Mathematics 1: Algebra and Differential Calculus | 6 | Autumn |
| MATH188 | Mathematics 2: Series and Integral Calculus | 6 | Spring |
| STAT101 | Introduction to Statistics | 6 | Spring |
200-level
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| FIN 222 | Corporate Finance | 6 | Autumn, Spring |
| FIN 223 | Investment Analysis | 6 | Autumn, Spring |
| MATH201 | Multivariate and Vector Calculus | 6 | Autumn |
| MATH202 | Differential Equations: Analysis and Applications | 6 | Autumn |
| MATH203 | Linear Algebra and Groups | 6 | Spring |
| STAT201 | Random Variables and Estimation | 6 | Autumn |
| STAT202 | Statistical Inference and Introduction to Model Building | 6 | Spring |
300-level
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| FIN 322 | Advanced Corporate Finance | 6 | Spring |
| MATH317 | Financial Mathematics | 6 | Autumn |
| STAT332 | Generalised Linear Models | 6 | Autumn |
400-level
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| INFO401 | Mathematics and Finance Honours Project | 12 | Annual, Spring 2020/Autumn 2021 |
| MATH407 | Research Methods | 6 | Autumn |
b. If a major is declared, additional subjects which are specific to the major.
c. At least 48 credit points of 300- and/or 400-level subjects from the List of Electives; which must include:
- 18 credit points of MATH/STAT/INFO subjects,
- 18 credit points of ACCY/FIN/ECON subjects,
- 12 credit points of 400-level subjects, and
- at least one 400-level 6 credit point MATH/STAT/INFO subject.
d. Any subjects chosen from the List of Electives that are needed to bring the total to 192 credit points;
e. No more than 66 credit points at 100-level.
The classes of Honours awarded are defined in the Coursework Rules Section 8. The Honours grade will be calculated in accordance with Method 2.
Any MATH, STAT, FIN or ECON subject plus the subjects below:
| Subject Code | Subject Name | Credit Points | Session(s) |
|---|---|---|---|
| ACCY200 | Financial Accounting IIA | 6 | Autumn, Spring |
| ACCY201 | Financial Accounting IIB | 6 | Spring, Summer 2020/2021 |
| ACCY228 | Taxation for Financial Planners | 6 | Spring |
| CSIT113 | Problem Solving | 6 | Autumn |
| CSIT115 | Data Management and Security | 6 | Autumn, Spring |
| CSIT121 | Object Oriented Design and Programming | 6 | Autumn, Spring, Summer 2020/2021 |
| CSCI235 | Database Systems | 6 | Autumn, Spring |
| CSCI251 | Advanced Programming | 6 | Autumn, Spring |
| INFO411 | Data Mining and Knowledge Discovery | 6 | Autumn |
| INFO412 | Mathematics for Cryptography | 6 | Autumn |
| LAW 101 | Introduction to Law | 6 | Autumn |
| MARK101 | Marketing Principles | 6 | Autumn, Spring, Summer 2020/2021 |
| MGNT110 | Introduction to Management | 6 | Autumn, Spring, Summer 2020/2021 |
| MGNT208 | Introduction to Management for Professionals A | 6 | Autumn |
The Majors and the No-major Option
Entry requirements
Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.
Learning outcomes
Course Learning Outcomes (CLOs) 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 to:
CLO Description 1 Demonstrate advanced theoretical and technical knowledge in mathematics, statistics and finance. 2 Integrate knowledge derived from finance and mathematics. 3 Demonstrate advanced cognitive and technical skills in mathematics, statistics and finance to select and apply mathematical to statistical methods to analyse and generate solutions to complex problems in finance. 4 Transmit mathematical, statistical and financial knowledge, skills and ideas to others. 5 Apply mathematical and statistical knowledge to professional practice in finance. 6 Apply professional, social and ethical approaches in learning to demonstrate autonomy and well-developed judgement as a financial mathematician or statistician.
Institution
