Statistics

Situated in Regina, Canada, the University of Regina is known for its commitment to experiential learning and academic excellence. The university offers a diverse range of programs in arts, sciences, business, engineering, and more. With a strong emphasis on student engagement and community involvement, the University of Regina provides a supportive environment for students to thrive academically and personally.

Statistics studies the collection, description, analysis, and interpretation of data. It is a data-driven science about how numbers help us understand the world, predict future events, and analyze information. Statistics uses mathematics to understand practical problems, as well as specialized tools for prediction and forecasting using data and models. Statistics is heavily used in scientific fields and research contexts. It is also used in areas like business, social sciences, government, and manufacturing. At the U of R, you can take one of four bachelor’s degree programs and one certificate program in statistics:Statistics is an academic subject that collects data for research purposes and provides theories and methods to analyze the data and make scientific judgments about uncertain outcomes that are of interest. It is a branch of applied mathematics. Statistics has two main sub-categories: descriptive statistics and inferential statistics. Statistical models and methods can be used in almost all industries and academic research disciplines that seek meaningful results from data. Here are a few examples of practical projects: Predict full season results of Major League Baseball players based on their historical performance measures (e.g., hitting averages) Classify customers based on spending behaviour (e.g., the number of shops to use, the average time to spend in a shop, the average amount to spend, etc.) Predict whether someone will have a certain type of cancer based on demographic, diet and clinical measurements Identify the economic impact of epidemic animal diseases and the control programs The rapid development and increased use of information and communication technologies produce a vast amount of data that can be used for many purposes. Recently, there has been an increased demand for statistical specialists, such as statisticians or data scientists, who analyze and use large amounts of data. Statisticians apply their knowledge to solve problems in almost every field of science, technology, and business.