3 years

February and July

RM45,600 Malaysian student

RM53,280 International student 2025 fees per year

CAREER PATHS By 2028, Malaysia’ s life insurance market is projected to reach over RM77.3 billion 1, while the general insurance market is set to expand to RM30.5 billion 2.

Coupled with the rise of digital transformation and the increasing importance of data analytics, this means strong career prospects for graduates across industries. With your new expertise, common career paths include:

• actuarial analyst / actuary

• business / data analyst

• risk analyst

• insurance underwriter

• pension consultant

• quantitative analyst

• data scientist.

Bursaries

Get a 10 % tuition fee waiver when you successfully enrol into this course. Visit

� monash. edu. my / scholarships for more details.

1 Insurance Business, retrieved 12 September 2024. 2 Life Insurance International, retrieved 13 May 2024. 3 This course map is intended as a rough guide. Units listed may vary depending on intake, availability and the latest requirements.

KPT / JPT( N / 0542 / 6 / 0014) 10 / 29- MQA / PSA 17871

Turn your affinity for numbers into a promising commercial career.

This specialist degree equips you with advanced skills in actuarial science and business analytics. With a curriculum designed to align with the needs of data-driven industries like insurance, insurtech, finance and fintech, you’ ll be well-positioned for success in actuarial science, business / data analytics, investment, finance, and banking.

Why study a Bachelor in Actuarial Analytics at Monash?

• Be highly versatile and better prepared for the profession’ s evolving demands; this course integrates technical actuarial knowledge with advanced data analytics, setting it apart from traditional actuarial degrees.

• Develop practical, industry-relevant skills through real-world case studies, group projects, and hands-on assignments.

• Cultivate workplace-ready skills through internships and build networks that can lead to post-graduation employment.

• Gain exposure to emerging tech like AI, machine learning, and big data analytics, and acquire skills highly valued in finance, insurance, and consulting.

Professional pathways

This course is accredited by the Society of Actuaries( SOA), and is expected to receive recognition from the Institute and Faculty of Actuaries( IFoA) and the Casualty Actuarial Society( CAS) in 2025, giving you a head start in earning widely sought-after professional certifications.

If your focus is on data and business analytics, you can pursue a SAS Specialist Certification from the Statistical Analysis System Institute or independently seek advanced certifications from industry leaders like Microsoft, IBM, and Oracle.

Course structure

PART A. FOUNDATION COMMERCE KNOWLEDGE( 24 credit points) These units will provide you with a comprehensive study of economics and finance disciplines and the impact they have on multi-discipline decision-making in organisations.

PART B. SPECIALIST DISCIPLINE KNOWLEDGE( 90 credit points) These units will develop your capacity as a critical and creative professional who is able to apply your knowledge of actuarial science and business analytics to provide discipline-based solutions to commerce. Units contained within the discipline may meet the requirements of professional accreditation bodies.

PART C. CAPSTONE EXPERIENCE( 6 credit points) The capstone unit is designed to consolidate the knowledge and skills acquired throughout the study of your specialisation.

PART D. FREE ELECTIVE STUDY( 24 units) Further develop your knowledge of actuarial science, business analytics, or commerce more broadly, or select any units from across the University in which you are eligible to enrol, including completing a minor from another course.

Industry experience

Opt for the BEW3110 Work Experience Program unit elective and go on a three or four-month internship to integrate academic learning with workplace experience.

WHAT YOUR COURSE WILL LOOK LIKE 3

Part A: Foundation business knowledge Part B: Specialist discipline knowledge Part C. Capstone experience Part D. Free elective study

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