University of Regina

Overview

The Bachelor of Science in Statistics at the University of Regina provides students with a robust understanding of probability, statistical inference, and data analysis. This program equips you with essential skills to interpret uncertainty and apply statistical methodologies to address real-world challenges across various domains, including science, business, and public policy.

What you'll study

The curriculum is designed to progressively enhance your knowledge and competencies, covering everything from foundational concepts to advanced statistical modeling and applied analysis. Specific course offerings may vary, and your personalized study plan will be developed in collaboration with an academic advisor.

Typical course areas

• Probability and mathematical foundations
• Statistical inference and estimation
• Regression and modeling
• Design and analysis of experiments
• Sampling and categorical data analysis
• Time series analysis and forecasting
• Statistical learning and predictive modeling (where offered)

Capstone / culminating experience

Some degree plans may require a culminating project or advanced coursework. The exact requirements will depend on the approved curriculum, so it's advisable to confirm the details with the department.

Suggested progression (example)

• Year 1: Introductory probability and core mathematical preparation
• Year 2: Statistical inference, foundational regression, and data analysis techniques
• Year 3: Advanced probability, sampling theory, and experimental design
• Year 4: Advanced electives such as time series, predictive modeling, and any culminating requirements (if applicable)

Entry requirements

Admission to the program is based on your academic qualifications and the university’s evaluation of your readiness for undergraduate studies in quantitative disciplines. Generally, specific GRE or GMAT scores are not required for undergraduate admission.

Career prospects

Graduates of the Statistics program are well-prepared for a variety of career paths in fields such as data analysis, market research, actuarial science, and public health. The skills acquired through this program are highly sought after in both the public and private sectors, providing a solid foundation for future employment or further academic pursuits.