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Master of Science in Actuarial Analytics

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Sunway University

Master of Science in Actuarial Analytics

university icon
Sunway University

Master of Science in Actuarial Analytics

Qualification
Master's Degree
Duration
1 years
Intake
FebFebMayMaySepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
First year from MYR 44,500 excludes 6% SST & other fees
Estimated total tuition from ~MYR 44,500 1 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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The Master of Science in Actuarial Analytics at Sunway University, accredited by the Institute and Faculty of Actuaries (IFoA), offers a streamlined pathway for graduates. Upon completion, students are eligible for exemptions from the CP1, CP2, and CP3 papers, facilitating a fast track toward qualifying as an Associate of the IFoA. The program equips students with essential analytical skills and exposure to AI-related techniques, ensuring their relevance and practical application in the workplace.

Designed specifically for actuarial students seeking professional qualification, this program provides three additional CP exemptions from the IFoA, enabling a seamless transition from undergraduate studies and accelerating their journey toward becoming qualified actuaries. This comprehensive approach not only prepares students for the actuarial profession but also empowers them to deliver valuable contributions to their organizations.

Entry Requirements

Bachelor’s degree in Actuarial Science or related fields with a CGPA ≥ 2.50, as accepted by the Academic Senate. 

For other qualifications and certificates (e.g.,Other qualifications equivalent to a Bachelor’s degree , etc..) please contact our educational consultants or submit your application for Admission assessment.

Future Careers

  • Actuary
  • Actuarial Reserving Analyst
  • Catastrophe Risk Analyst
  • Data Scientist
  • Data Engineer
  • Analyst (Financial, Investment Data, Risk, Business, etc.)
  • Regulator
  • Machine Learning Scientist
  • Investment and Portfolio Manager
  • Risk Manager
  • Academia
  • Statistician
  • Mathematician

Programme Structure

Year 1

  • Actuarial Practice 1
  • Actuarial Practice 2
  • Actuarial Modelling
  • Professional Communication
  • Machine Learning
  • Predictive Models and Clustering Algorithm
  • Research Methodology
  • Research Project 1
  • Research Project 2

Elective Courses

  • Enterprise Risk Management
  • Mathematical Modelling in Production Systems
  • Optimisation Techniques

Areas of Research

  • Risk Modelling
  • Pension and Social Security
  • Life Insurance and Mortality Modelling
  • Health Insurance and Morbidity Studies
  • General Insurance
  • Optimisation in Claims and Underwriting
  • Claims Fraud Detection
  • Predictive Modelling
  • Clustering and Unsupervised Learning
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