Actuarial Science

Chennai, IN, Chennai, India

Shortlist

Shortlist

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The student post graduated in Actuarial Science under the M.Sc. Actuarial Science Programme should be able to have

1. Disciplinary Knowledge: a good theoretical knowledge of Actuarial Science and its methods and techniques.

2. Mathematical knowledge: problem solvers capable of explaining, applying and critically evaluating the use of actuarial models, particularly in relation to insurance, finance and superannuation.

3. Application knowledge: analytical in the application of actuarial theory, knowledge, principles, techniques and data.

4. Critical Thinking: critical evaluation of evidence in support of an argument or proposition to actuarial problems.

5. Analytical Reasoning: synthesizing ideas, theories and data in developing solutions to actuarial problems.

6. Problem Solving skills: problem solving in actuarial practice through the application of appropriate theories, principles and data.

7. Research Related Skills: to apply and synthesize mathematical, statistical, financial and actuarial theory, models and evidence to a variety of financial and insurance issues. Programme Code: MSIE 3

8. Computational skills: analyze actuarial data using advanced statistical techniques and demonstrate creativity and initiative in application of knowledge to problem solving and innovation.

9. Team work: demonstrate a capacity to successfully work independently with personal accountability and execute a project requiring research or a real-world application

10. Communication and soft skills: independent and effective in communication of ideas; and able to collaborate and be effective in team work.