Bachelor Of Arts - Actuarial Science

Program Overview

The Bachelor of Arts in Actuarial Science is designed to equip students with essential mathematical and statistical skills necessary for success in the demanding business world. This program focuses on various areas including mathematical analysis, probability theory, statistics, finance, and economics. It aims to prepare students for the Associate designation of the Society of Actuaries or the Casualty Actuarial Society. Graduates will receive rigorous training in both quantitative and qualitative aspects of the actuarial profession, providing a solid foundation for careers in industry, government, or further academic pursuits.

Program Structure

The Bachelor of Arts in Actuarial Science program is structured to provide a comprehensive education over a standard duration. The program includes:

• Core courses in mathematical analysis, probability theory, and statistics.
• Training in finance and economics relevant to the actuarial field.
• Opportunities for experiential learning through co-op and internship options.
• A flexible curriculum allowing students to switch between programs within the first three semesters.

This structure ensures that students not only gain theoretical knowledge but also practical skills that are highly valued in the job market.

Featured Experiences

• Co-op and internship opportunities to gain real-world experience.
• Experiential education support services, including workshops on resume writing and interview preparation.
• Access to a dedicated Experiential Education Coordinator for personalized career support.
• Networking events and job boards through the Career Center at York.

Career Options

Graduates of the Bachelor of Arts in Actuarial Science can pursue a variety of career paths in Canada, including:

• Actuary: Professionals who analyze financial risks using mathematics, statistics, and financial theory.
• Quantitative Risk Analyst: Specialists who assess and manage risks using quantitative methods and models.
• Financial Business Analyst: Analysts who evaluate financial data to help businesses make informed decisions.
• Risk Modelling Analyst: Experts who create models to predict and mitigate potential risks in various sectors.
• Data Analyst: Professionals who interpret complex data sets to inform business strategies and decisions.
• Data Scientist: Specialists who use advanced analytics and machine learning to extract insights from data.
• Post Graduate Studies/Academic Career: Opportunities for further education or teaching roles in academia.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.