About The Programme

The MSc in Actuarial Science covers a broader scope in research areas of actuarial and mathematical sciences, embedding the most urgent and current issues facing the actuarial and financial world.

The current world financial ecosystem needs to embrace the uncertainty and hazards in a changing environment, characterised by numerous unpredictable events such as climate change, natural disasters and financial crisis. Unpredictable damage brought about by the occurrence of such events can have a deep impact on the actuarial and finance industries, particularly in the area of insurance and reinsurance. Graduates of the MSc in Actuarial Science will gain competence in research skills in areas such as catastrophe modelling, disaster management, corporate failure, financial crisis, longevity and morbidity risk, pension planning and pricing of insurance/reinsurance products. You will also be equipped with skill sets to embark on careers in financial management, insurance/reinsurance and other risk-related analysis.

The MSc in Actuarial Science programme empowers students with a competitive edge in research through in-depth training mediated by experts. As a postgraduate student, you will be integrated as members of our research groups at Sunway University with various opportunities to participate in research alongside supervisors through seminars, workshops, laboratory and field work.

You will learn how to research the literature and to plan and manage a research project. The skills and attributes you gain in critical thinking, project management and report writing will help you to achieve your career potential.

Intakes

January, March, June & September

 

Duration

2 Years (full-time), 3 Years (Part-time)

 

Career Prospects

Graduates may enter careers in actuary, academia, consulting or research, as well as undertake specialist roles in areas related to insurance, finance, and business.

 

Modules

The MSc in Actuarial Science consists of two taught modules and one thesis. You will be required to complete two taught modules, namely Research Methodology and Directed Readings, before they proceed to writing the thesis. By undergoing these two modules, you will develop the necessary skills and knowledge to conduct research successfully towards the Master’s degree.

Research Methodology

 

In this module, you will have an opportunity to examine research designs with methodology as well as data analysis techniques employed by researchers. At the end of this module, you will be expected to formulate and submit a proposal for research in an area of their own interest or specialisation

Directed Readings

 

This module will provide you with comprehensive reading lists and resources to help you develop their hypothesis or areas of interest. Library skills and training on how to manage information and resources will also be introduced in this module.

 

Thesis

 

The MSc is awarded based on the successful completion of a thesis. The thesis should demonstrate proficiency, criticality and mastery in the subject or chosen area of research.

 

Areas of Research

The School has a dedicated team of academicians and in-house actuaries who will mentor and discuss possible research topics with you in the following areas of research interests, but not limited to:

• Credit Risk Modelling
• Financial Modelling
• Insurance Pricing Optimisation
• Loss Reserving Techniques
• Mortality / Morbidity/ Longevity of a Population
• Risk Management
• Statistics and Actuarial Modelling

 

Entry Requirement

Bachelor’s Degree

• A Bachelor’s Degree in Actuarial Science, Mathematics, Statistics, Quantitative Analysis or related area with minimum CGPA of 2.75 or equivalent

Other Qualifications

• Any other qualifications will be considered on a case-to-case basis

 

English Language Requirements

(For International Applicants)

IELTS 6.0;

TOEFL 550 (paper-based), 213 (computer-based), or 80 (internet-based);

PTE Academic 50 overall (minimum 46 in each skill)

Cambridge English (First) 75+

Cambridge English (Advanced) Minimum 67

 

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