Bachelor of Science - Statistics

Program overview

The Bachelor of Science in Statistics at UNB Saint John is designed to equip students with essential skills in data analysis and interpretation. This program emphasizes the importance of statistics in various fields, including science, medicine, computer science, sports, finance, and engineering. With the growing demand for statistical expertise, students will gain a solid foundation in statistical theory and practical applications, preparing them for both graduate studies and careers in the industry.

Program structure

The Bachelor of Science in Statistics program at UNB Saint John offers a comprehensive curriculum that spans various levels of statistical education. The program is structured to provide:

• Program Length: Typically completed in four years.
• General introductory statistics courses covering core elements.
• Specialized introductory statistics courses tailored to specific interests.
• Advanced courses for third and fourth-year students focusing on major projects and graduate school preparation.
• Hands-on learning experiences with real-life data problems.
• Opportunities to use the latest statistical software for data analysis.

Students will also engage in projects that require the analysis of real-life data, ensuring they are well-prepared for future challenges in the field.

Featured Experiences

• Hands-on learning with real-life data problems.
• Use of the latest statistical software for analyzing larger data sets.
• Projects that require analysis of real-life data in certain courses.
• Opportunities to work on major projects that enhance practical skills.

Career Options

• Statistical Consultant: Provides expert advice on statistical methods and data analysis to organizations.
• Actuary: Analyzes financial risks using mathematics, statistics, and financial theory.
• Biostatistician: Applies statistical methods to biological and health-related research.
• Business Analyst: Uses data analysis to inform business decisions and improve processes.
• Data Analyst: Interprets complex data sets to help organizations make informed decisions.
• Economist: Studies economic data to understand trends and inform policy decisions.
• Market Researcher: Analyzes market conditions to identify potential sales opportunities.
• Risk Analyst: Assesses financial risks and develops strategies to mitigate them.
• Quantitative Ecologist: Uses statistical methods to study ecological data and inform conservation efforts.

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