De La Salle University

What you'll study

The programme builds a strong foundation in calculus, probability and mathematical statistics before moving into actuarial-specific topics. Core subjects include calculus and linear algebra, probability theory, statistical inference, regression and time series, multivariate analysis and statistical computing using industry-relevant software.

Actuarial major modules typically cover financial mathematics, life contingencies, survival models, risk theory, loss models, credibility theory, pension and social security mathematics, and stochastic processes. Students also study economics and finance topics relevant to actuarial work, such as microeconomics, financial accounting and investment principles.

The curriculum emphasises practical skills: courses in statistical computing and data analysis (often using R, Python or similar tools), a practicum or internship with industry partners, and electives that allow deeper study in areas such as machine learning, Bayesian statistics or advanced financial modelling. Many students undertake a capstone project or research paper integrating statistical methods with actuarial applications.

Entry requirements

Applicants normally require a senior high school diploma or equivalent with strong achievement in mathematics. Typical preparation includes calculus and statistics courses at secondary level or their equivalents. Admission is via De La Salle University’s standard undergraduate admissions process; applicants are assessed on academic records and performance in the university’s admissions procedures. Mature applicants or holders of relevant post-secondary qualifications may be considered under alternative pathways.

Because the programme is mathematically intensive, incoming students should be comfortable with algebra and calculus and be prepared to develop programming and computing skills alongside mathematical coursework.

Career prospects

Graduates are prepared to pursue professional actuarial qualifications and to work in roles that require quantitative and risk-modelling expertise. Common career paths include:

• Actuarial analyst and actuary in life, health, property & casualty and reinsurance companies
• Risk analyst and risk manager in insurance, banking and corporate finance
• Pricing analyst and product development roles within insurers and financial services
• Data scientist, statistician or quantitative analyst in consulting, technology and government agencies
• Pension and benefits analyst, regulatory or policy roles relating to social security and insurance markets

The programme’s combination of theoretical knowledge and practical experience helps graduates meet the requirements for preliminary professional actuarial exams and provides a strong foundation for further study or chartered qualifications.

Why study at De La Salle University

De La Salle University offers a long-established science faculty and a mathematics/statistics community with experience preparing students for actuarial careers. Students benefit from access to specialised coursework in actuarial science, computing and finance, as well as opportunities for internships with insurers, banks and consultancy firms in Metro Manila.

The university supports hands-on learning through computing laboratories, research projects and industry partnerships. Additionally, De La Salle’s alumni network and links with the local actuarial profession help students access mentoring, seminar series and career opportunities that bridge academic study and professional practice.