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About APU
Why choose APU?
Malaysia’s Premier Digital Tech University
No.1 for International Students in Malaysia (QS World University Ranking 2025)
5-Star Excellence Rating (SETARA)
100% Employability Rate
Ranked No.16 for International Students in the World
More than 80,000 Graduates & AlumniDual Degree
APU-DMU Dual Degree Programme
Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.Learn MoreLatest Technologies
More Than Just An Actuarial Studies Degree
APU’s Bachelor of Science (Honours) in Actuarial Studies with a specialism in Data Analytics is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.
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Digital Transformation for IR4.0
Requirements
Admission Requirements
General RequirementsDirect Entry to Level 1 of the DegreeSTPM- 2 Passes in STPM with a minimum Grade C+ (GP 2.33) and a Credit in Mathematics and a Pass in English at SPM Level or its equivalent.
A-Level- 2 Passes (Grade A-D) in A-Level in any 2 subjects, and a Credit in Mathematics and a Pass in English at SPM/O-Level/ IGCSE or its equivalent.
UEC- 5 Grade B’s in UEC including Mathematics with a Pass in English.
Matriculation/ Foundation- Passed Foundation programme (minimum CGPA of 2.5) with a Credit in Mathematics and a Pass in English at SPM/O-Level/IGCSE or equivalent.
Any qualification that APU accepts as equivalent to the above.Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the “Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)” published by Malaysian Qualifications Agency (MQA).
English RequirementsInternational Students- ELTS : 6.0
- TOEFL IBT : 60
- Pearson (PTE) : 59
- MUET : Band 4
For more information please click HERE
Programme OutlineWhat We Teach
This programme is specifically designed to provide students with:
- A course of study in Actuarial Science with a specialism in Data Analytics which has been awarded full accreditation by the IFoA (UK).
- Competent teaching staff with professional or specialised academic qualification, possessing working experience from actuarial industries/ academia
- Course syllabus which is comprehensively structured in tandem and compliance with the 2 biggest actuarial bodies, the IFoA (UK) and the SOA (US).
- Comprehensive guidance to mould graduates to be industry-ready
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Degree Level 1
Equipping students with essential fundamentals of Mathematics, Statistics, Economics and Finance starts at Level 1. To complement the core knowledge, the students will also learn Business, Communication, and IT skills, before progressing to the Level 2 of Actuarial Science study.
Common Modules
- Probability Models
- Linear Algebra
- Business and Communication Skills
- Calculus
- Calculus II
- Financial Accounting
- Microeconomics
- Macroeconomics
- Introduction to R Programming
- Statistics
Degree Level 2
The core knowledge of Mathematics and Statistics now act as engine to drive the complex models of Economics and Finance in the actuarial industries. Those core knowledge are integrated to form actuarial tools and infrastructure, ready to be used for planning and managing purposes. Students will receive exposure and coaching which are actuarial centric, targeting at industrial applications. They are gradually groomed to be more independent in their study and research efforts.
In addition to the common modules for actuarial studies, students will also take two specialism modules (Programming for Data Analytics and Operational Research and Analytics) to gain exclusive exposure to data analytics.
Common Modules
- Advanced Probability Models
- Predictive Analytics
- Financial Mathematics
- Regression Analysis
- Financial Economics
- Business Research Methods
- Financial Management
- Business Ethics & Governance
- Mathematics of Financial Derivatives
- Stochastic Processes
Specialised Modules
- Programming for Data Analytics
- Operational Research and Analytics
Internship (16 Weeks)
Students will undertake a short Internship/ Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.
Degree Level 3
The students are now ready to merge their knowledge and industrial experience to forge ahead and put into action their acquired skills in planning, managing and analysing risk. At this level, emphasis is placed on evaluating financial performance of businesses from actuary’s perspectives. Students will have the opportunity to understand the critical roles played by actuaries, for example, in the development and pricing of insurance products. Risk Management, Actuarial Modeling and Ratemaking are some of a wide repertoire of skills to be used.
In addition to the common modules for actuarial studies, students will also take two specialism modules (Behavioural Science & Marketing Analytics and Advanced Predictive Analytics) to gain further knowledge and skills for data analytics.
Common Modules
- Asset and Liability Valuations
- Life Contingencies
- Corporate Finance
- Risk Theory
- Investigation in Actuarial Studies
- Option and Bond Valuations
- Survival Analysis
- Life Contingencies 2
- Project in Actuarial Studies
Specialised Modules
- Behavioural Science & Marketing Analytics
- Advanced Predictive Analytics
MQA Compulsory Subjects*
- Appreciation of Ethics and Civilisation (M’sian Students)
- Malay Communication Language (Int’l Students)
- Philosophy and Current Issues
- Workplace Professional Skills
- Integrity and Anti-corruption
- Co-Curriculum
(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)
Note: The specialism will appear only in the academic transcript.
