Master of Science in Actuarial Analytics

Overview

This Master’s degree is accredited by the Institute and Faculty of Actuaries (IFoA). Upon completion of the programme, graduates are eligible for exemptions from CP1, CP2, and CP3 papers, providing a streamlined pathway from their undergraduate studies and a fast track toward qualifying as an Associate of the IFoA. In addition, students will gain analytical skills and exposure to AI-related techniques, ensuring they remain relevant, practical, and capable of delivering value to the organisations they serve.

Our programme offers a fast-track route for actuarial students aiming to qualify as an actuary, with three additional CP exemptions from the Institute and Faculty of Actuaries (IFoA). This provides a seamless continuation from undergraduate studies and accelerates the journey toward professional qualification.

Courses are taught by experienced actuaries and academics, ensuring that students gain not only exemption-relevant knowledge but also practical insights and industry-relevant skills. Beyond the core actuarial curriculum, the programme includes advanced analytics and AI-related techniques, equipping students to stay relevant and add value in a rapidly evolving professional landscape.

Ƶ University’s Actuarial Science programme has been recognised as “Best in Class in Actuarial Science” and “Champion in Actuarial Science” by Talentbank since 2024. We remain committed to delivering high-quality actuarial education and preparing our students for successful careers.

Accredited by

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Intakes
November
Duration
1 Year (full-time)
2 Years (part-time)
Career Prospects
  • 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
Estimated Annual Course Fee
  • RM49,440
    for Malaysian students
International students must pay their fees in RM equivalent. The USD here is just an indicative/estimation and subject to the prevalent exchange rate

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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Student studying

Entry Requirements

  1. Bachelor’s degree in Actuarial Science or related fields with a CGPA ≥ 2.50, as accepted by the Academic Senate. OR
  2. A Bachelor’s degree in Actuarial Science or related fields with a 2.00 ≤ CGPA < 2.50, subject to internal assessment.
  3. An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning)

English Language Requirements

  • IELTS or equivalent: 6.0

Preview Session

For further information about this premier programme, you are invited to join us for a preview. To register for the preview.

Register Here

Scholarships and Financial Aid

For more information about the scholarships and financial aid, please visit the .

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