Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Bachelors
Major
Actuarial Science | Applied Statistics | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


Program Details

The Statistics program at Carleton University is designed to provide students with a comprehensive understanding of statistical concepts and methods. Statisticians and data scientists extract useful information in the face of uncertain data, quantify risk, and produce evidence-based decisions. As a statistician, students 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. For students in other programs, a minor in Statistics is also offered.


Work Experience

A co-op option is available, providing students with the opportunity to get a head start on their career. Co-op work terms allow for the development of key employability skills, exploration of career options, and graduation with tangible, workplace experience.


Career Outcomes

Statisticians and data scientists have many career possibilities in a wide variety of organizations. Sample careers include:


  • Data Management
  • Finance
  • Insurance

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.

Admission Requirements

Admission requirements vary depending on the student's education background. Students can select their education background from the following options:


  • Ontario High School - Current
  • Ontario High School - Graduate
  • Ontario College Graduate or Transfer
  • Ontario/Canadian University Graduate or Transfer
  • Canadian High School (outside Ontario)
  • CEGEP
  • Canadian College Graduate or Transfer
  • Canadian/Ontario University Graduate or Transfer
  • American High School
  • American College/University Graduate or Transfer
  • American High School
  • International Baccalaureate
  • International High School
  • International Post-Secondary
  • Home-Schooled
  • Mature Applicant
  • Carleton University - Current student (internal transfer)
  • Carleton University - Former student (Re-admission)
  • Carleton University - Special (non-degree) student

Students can also select their province and curriculum from a list of options, including:


  • Province: Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Nunavut, Prince Edward Island, Quebec, Saskatchewan, Yukon
  • Curriculum: Caribbean - CAPE, Chinese High School, French Baccalaureate, Indian High School, International Baccalaureate, UK/British System A Levels, United States High School, West Africa - WAEC, Other national curriculum
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