About this course
Intended learning outcomes
On successful completion of this degree students will be:
Critical thinkers in relation to actuarial studies and related disciplines.
- Describe and explain the fundamental theories of actuarial science as they apply in life insurance, general insurance and superannuation; and
- Assess the suitability of actuarial, financial and economic models in solving actuarial problems.
Analytical in the application of actuarial theory, knowledge, principles, techniques and data.
- Analyse actuarial data through the application of statistical techniques;
- Perform actuarial calculations through the application of actuarial techniques; and
- Analyse real and hypothetical actuarial problems.
Problem solvers capable of explaining and applying actuarial models.
- Describe the core areas of actuarial practice and relate to those areas actuarial principles, theories and models; and
- Analyse and evaluate options in business decision making.
On successful completion of this degree students should have enhanced their skills in:
- Recognising the interrelationships and synergies which exist between the disciplines of the faculty;
- Synthesizing ideas, theories and data in developing solutions to actuarial problems;
- Critical evaluation of evidence in support of an argument or proposition;
- Problem solving in actuarial practice through the application of appropriate theories;
- Teamwork through collaborative exercises in seminars, workshops and assessment;
- Skills in the use of software packages applicable to actuarial and statistical modelling; and
- Written and oral communication of actuarial ideas, theories and solutions to peers and the wider community.
On successful completion of this course, students will be:
- Receptive to alternative ideas through a review of the literature and through class participation and assessment;
- Able to use, critically evaluate and test actuarial models;
- Adept in statistical reasoning through completion of core quantitative subjects in the degree;
- Able to solve problems through their understanding of financial, statistical and actuarial techniques;
- Able to work effectively with computer software for the analysis of data;
- Able to retrieve, summarise and interpret actuarial and financial information through class exercises and assessment;
- Able to apply and synthesise mathematical, statistical, financial and actuarial theory, models and evidence to a variety of financial and insurance issues;
- Effective in communication of ideas; and
- Able to collaborate and be effective in team work.
Last updated: 16 March 2020