Graduate Diploma in Actuarial Science (GD-ACTSC) // Attributes, outcomes and skills
About this course
Contact
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact Stop 1
Future Students:
- Further information: mbs.unimelb.edu.au
- Submit an enquiry
Coordinator
Shuanming Li
Intended learning outcomes
1. Learning Goal
Graduates of this degree will be critical thinkers in relation to actuarial studies and related disciplines.
Learning objectives to achieve this goal
On successful completion of this degree students will be able to:
- 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.
2. Learning Goal
Graduates of this degree will be analytical in the application of actuarial theory, knowledge, principles, techniques and data.
Learning objectives to achieve this goal
On successful completion of this degree students will be able to:
- 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.
3. Learning Goal
Graduates of this degree will be problem solvers capable of explaining and applying actuarial models.
Learning objectives to achieve this goal
On successful completion of this degree students will be able to:
- 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.
Generic skills
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.
Graduate attributes
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: 18 December 2020