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Program Details
Statisticians and data scientists extract useful information in the face of uncertain data, quantify risk and produce evidence-based decisions. As a statistician, you will plan data collection methods, analyze data and advise on the interpretation and limitations of results. Honours students receive an introduction to the theoretical dimension of statistics required for advanced studies and can take a concentration in Actuarial Science. A minor in Statistics is also offered.
Work Experience
A Co-op option is available. Co-op is the opportunity to get a head start on a career. Co-op work terms allow for the development of key employability skills, exploration of career options and graduation with tangible, workplace experience.
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Career Outcomes
Explore your passions, refine new skills and discover the career that’s right for you.
Statisticians and data scientists have many career possibilities in a wide variety of organizations.
Sample Careers
Sample Courses
STAT 1500 - Introduction to Statistical Computing
Basics of programming in R and introduction to statistical software; generating statistical plots; computing descriptive statistics; performing basic statistical procedures; fundamentals of numerical analysis; optimization; generating random numbers, performing simple simulations and simulation-based inference.
STAT 3553 - Regression Modeling (Honours)
Linear regression - theory, methods and application(s). Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models.
Visit the Undergraduate Calendar to view a comprehensive list of course offerings for this program and discover the exciting things Carleton students are learning in the classroom!