The Bachelor of Science (Honours) in Actuarial Studies with a Specialism in Data Analytics is designed to combine traditional actuarial science with advanced data analytics, preparing graduates for careers in actuarial science, insurance, banking, financial services, consulting, risk management, and data analytics. The programme develops strong mathematical, statistical, analytical, and programming skills while integrating Industry 4.0 technologies.

Students learn predictive analytics, machine learning fundamentals, statistical modelling, business intelligence, R programming, Python programming, data visualisation, and actuarial risk modelling. The curriculum is fully aligned with the professional requirements of the Institute and Faculty of Actuaries (IFoA), UK, Society of Actuaries (SOA), USA, and Casualty Actuarial Society (CAS), USA. The programme holds full IFoA accreditation, enabling eligible graduates to receive exemptions from several professional actuarial examinations. Students also complete a compulsory industrial internship to gain real-world industry experience. 

Subjects / Topics Offered or Programme Structure

Degree Level 1

• Calculus
• Calculus II
• Linear Algebra
• Probability Models
• Statistics
• Financial Accounting
• Microeconomics
• Macroeconomics
• Business and Communication Skills
• Introduction to R Programming

Degree Level 2

Common Actuarial Modules

• Financial Mathematics
• Actuarial Mathematics
• Survival Models
• Statistical Modelling
• Financial Economics
• Risk Modelling
• Stochastic Processes
• Time Series Analysis

Data Analytics Specialised Modules

• Data Analytics
• Data Visualisation
• Predictive Analytics
• Machine Learning Fundamentals
• Data Mining
• Business Intelligence
• Python Programming for Analytics

Industrial Internship

• Compulsory Industrial Training

Degree Level 3

• Enterprise Risk Management
• General Insurance
• Life Insurance Mathematics
• Pension Mathematics
• Advanced Predictive Analytics
• Big Data Analytics
• Statistical Learning
• Data Analytics Project
• Professional Practice
• Research Project

Disciplines or Specialisations Offered

Students develop expertise in:

• Actuarial Science
• Data Analytics
• Predictive Analytics
• Business Intelligence
• Data Mining
• Machine Learning
• Statistical Modelling
• Financial Mathematics
• Risk Management
• Insurance Analytics
• Enterprise Risk Management
• Investment Analysis
• Big Data Analytics
• Python Programming
• R Programming
• Quantitative Analysis

Highlights

• Ranked among the Top 2% of universities worldwide.
• Malaysia's Premier Digital Tech University.
• Optional APU–DMU Dual Degree Scheme.
• Full accreditation by the Institute and Faculty of Actuaries (IFoA), UK.
• Recognised by the Society of Actuaries (SOA), USA.
• Recognised by the Casualty Actuarial Society (CAS), USA.
• Specialism in Data Analytics recorded on the academic transcript.
• Industry 4.0-focused curriculum integrating actuarial science with analytics.
• Practical training in R Programming, Python Programming, Data Analytics and Business Intelligence.
• Eligible students may receive IFoA block exemptions for CS1, CS2, CM1, CM2, CB1 and CB2 (subject to academic performance and IFoA policies).
• Employers' Top Choice for Actuarial Science (TalentBank).
• Compulsory Industrial Internship.
• Students from over 130 countries.
• Excellent graduate employability.

Career Outcomes

Graduates may pursue careers such as:

• Actuarial Analyst
• Data Analyst
• Data Scientist
• Predictive Analytics Specialist
• Risk Analyst
• Insurance Analyst
• Financial Analyst
• Business Intelligence Analyst
• Quantitative Analyst
• Investment Analyst
• Pricing Analyst
• Enterprise Risk Consultant
• Pension Consultant
• Business Analytics Consultant
• Financial Modeller

Latest Updates or Special Requirement (if any)

• Current published intakes are 28 September 2026 and 24 November 2026.
• The programme holds full IFoA accreditation.
• Recognised by the SOA (USA) and CAS (USA).
• Students achieving the required academic standard may qualify for IFoA block exemptions from CS1, CS2, CM1, CM2, CB1 and CB2.
• Students progressing from the APU Foundation Programme are required to complete the Further Mathematics module.
• The curriculum integrates modern Data Analytics, Predictive Analytics, Machine Learning, Big Data, Python Programming and Business Intelligence.
• Eligible students may graduate under the APU–DMU Dual Degree Scheme. 

Visa Requirements

International students must obtain a Malaysian Student Pass (Student Visa) before commencing their studies.

Typical requirements include:

• Valid passport.
• Official APU Offer Letter.
• Acceptance of the admission offer.
• Student Pass application through Education Malaysia Global Services (EMGS).
• Academic transcripts and certificates.
• Proof of English language proficiency.
• Medical examination before and/or after arrival as required by Malaysian authorities.
• Passport-sized photographs.
• Valid medical insurance.
• Payment of Student Pass and visa processing fees.