Bachelor Of Science - Statistics

Program Overview

The Bachelor of Science in Statistics is a dynamic program designed to equip students with essential skills in data analysis and interpretation. This program is offered as a Bachelor of Science (BSc) degree, focusing on the practical applications of statistics in various fields. With the growing importance of statistics in modern professional life, students will gain valuable insights into experimental design, survey analysis, and data visualization. Graduates are highly sought after by major consulting firms and government agencies, making this program a gateway to numerous career opportunities.

Program Structure

The Statistics program at York University is structured to provide a comprehensive education in statistical methods and applications. The program is designed to be flexible, allowing students to switch between different programs within the first three semesters without delaying their graduation. Key features of the program structure include:

• Program Length: Typically completed in four years.
• Experiential learning components integrated into many courses.
• Hands-on projects based on real-world data.
• Access to statistical software packages used by industry professionals.
• Opportunities for research projects applying statistical knowledge to current issues.

Students will also benefit from support services provided by the Experiential Education Coordinator, which includes workshops for co-op and internship opportunities.

Featured Experiences

• Experiential learning components embedded in the curriculum.
• Hands-on courses taught in computer labs.
• Real-world data assignments and projects.
• Research projects that apply statistical knowledge to contemporary problems.
• Career support services including co-op and internship workshops.

Career Options

Graduates of the Bachelor of Science in Statistics program can pursue a variety of career paths in Canada. Some potential job opportunities include:

• Pharmacologist: Work with pharmaceutical companies like Pfizer and Eli Lilly to analyze drug efficacy and safety.
• Biostatistician: Collaborate with healthcare organizations such as the University Health Network to conduct statistical analyses in medical research.
• Banking and Insurance Analyst: Analyze financial data for institutions like RBC and TD to assess risk and inform decision-making.
• Data Scientist in Artificial Intelligence: Engage with tech giants like Google to develop algorithms and models for data-driven decision-making.
• Market Research Analyst: Work with companies like Shopify to analyze market trends and consumer behavior.

These roles highlight the versatility and demand for statistics graduates in various sectors, including healthcare, finance, technology, and marketing.

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