313564 v.1 Actuarial and Applied Statistics Major (BSc Actuarial Sci)
Major/Stream Overview
This major/stream is part of a larger course. Information is specific to the major/stream, please refer to the course for more information.
The BSc (Actuarial and Applied Statistics) degree is for students who decide part way through their BSc (Actuarial Science) degree that they will probably not continue their studies to becoming an Actuary and wish to broaden their degree to include more statistical units. The course does NOT cover the full eight (8) subjects required by the Institute of Actuaries of Australia.
Professional Recognition
Some units within this course may provide students with the opportunity to meet some of the requirements of professional accreditation with the Institute of Actuaries of Australia.
Major/Stream Organisation
Major/Stream Learning Outcomes
A graduate of this course can:
1. appreciate variation inherent in nature, and understand the need to manage it; be familiar with major mathematical, probabilistic, statistical, and actuarial science theories, and be able to apply these to solve problems relevant to industry, commerce and Government
2. apply principles of actuarial science and applied statistics methodology to problems arising in real, life, through data collection, modelling, analysis using statistical software, and actuarial calculations and interpretations
3. locate, extract and critically appraise relevant evidence and scientific literature at an advanced level in relation to actuarial science and statistics
4. communicate effectively within the context of actuarial science and statistics through the written work and by oral presentation as demonstrated by the production of a detailed project report
5. use new and advanced technologies, including statistical and financial software packages, to effectively gather data and communicate information
6. understand the theoretical framework of actuarial science and statistics, and work as a responsible, reflective, self-directed and motivated lifelong learner
7. be aware of the diversity of international perspectives and apply a high international standard of practice within their profession as a statistician working in the actuarial science area
8. understand and appreciate cultural diversity and how it impacts on the discipline of actuarial science and statistics
9. display a very high standard of professional behaviour both independently and as a team member through the use of ethical practices
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 3 Semester 1 | |||||
| 302316 | v.1 | Statistical Inference 301 | 4.0 | 25.0 | |
| 311007 | v.1 | Statistical Modelling 301 | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 50.0 | ||||
| 100.0 | |||||
| Year 3 Semester 2 | |||||
| 310304 | v.1 | Industrial Project 302 | 4.0 | 25.0 | |
| 3975 | v.5 | Applied Statistics 302 | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Optional Units to Select from in Year 3 Semester 2 | Hrs/Wk | Credit | |||
| 8393 | v.9 | Experimental Design and Analysis 202 | 4.0 | 25.0 | |
| 310297 | v.2 | Logistics Modelling and Optimisation 202 | 4.0 | 25.0 | |
| 302292 | v.1 | Network Optimisation 202 | 4.0 | 25.0 | |
| 10820 | v.4 | Financial Derivative Securities 312 | 3.0 | 25.0 | |
| 9753 | v.7 | Portfolio Management 301 | 3.0 | 25.0 | |
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