Applied Statistics

Applied Statistics

About the Program

Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. The Applied Statistics Specialist Program at U of T Mississauga provides students with a solid foundation in the fundamental aspects of probability and introduces students to a broad range of applied statistics methodologies. The Major and Minor Programs in Applied Statistics consist largely of STA courses, and may be combined with programs in other subjects. 

 

 

Degree: 
Honours Bachelor of Science
Program Options: 
Specialist,
Major,
Minor

After completing your first year, you'll be asked to confirm what program(s) you wish to study – your Programs of Study. They can be integrated in unique ways to obtain your U of T degree, but must be one of the following three combinations: one Specialist; or two Majors; or one Major and two Minors. You don't need to worry about that now, but if you'd like to learn more about this process, watch our handy video (7 min).

Admission Requirements

You apply to an admission category, which is a collection of similar programs. Once you've accepted an offer of admission to our campus, we go into greater detail about specific program and course selection options.

At the end of your first year, you will choose your program(s), which means that your first year is an excellent opportunity to explore the full breadth of offerings.

Regardless of what you study, remember that you will receive a prestigious University of Toronto degree when you graduate that tells everyone that you are ranked among the best in the world!

OUAC Application Code: 
TMZ (Computer Science, Mathematics & Statistics)
Program Course Prerequisites: 
English, Calculus, Advanced Functions; (recommended: Mathematics of Data Management)
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Approximate Competitive Average: 
Low to Mid 80s

The admission average is calculated with English (ENG4U) plus the next best five Grade 12 U or M courses. Meeting these minimum requirements does not guarantee you admission to the University. Admission is subject to space availability and competition.

Additional Admission Criteria & Notes: 

Entry to the Computer Science, Mathematics & Statistics admission category is gained directly from high school. Applicants who have completed any postsecondary studies (including studies at other divisions at the University of Toronto) are not eligible for admission.
 

The content in this section is based on requirements in the Ontario curriculum.

Find requirements to other common curricula:

Please visit the Admissions section of our site for full requirements.

Discover Your Potential

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Student Experience

Courses You Would Love

Normal Histogram

STA256H5 • Probability and Statistics I

This course covers probability including its role in statistical modeling. Topics include probability distributions, expectation, continuous and discrete random variables and vectors, distribution functions. 

Survey

STA304H5 • Surveys, Sampling and Observational Data

The course covers: design of surveys, sources of bias, randomized response surveys. Techniques of sampling; stratification, clustering, unequal probability selection. 

Estimate

STA413H5 • Estimation and Testing

This course covers advanced topics in probability and mathematical statistics. Topics include convergence in probability, convergence in distribution, and convergence with probability one, sufficiency, and completeness.

Planning Ahead

Whether you want to land your dream job, conduct groundbreaking research, or start your own business, we can get you there. Here are resources to help you explore your career options.

Career Options

Created by our Career Centre, the Careers by Major database identifies some potential career fields, how to gain related skills and experience, and useful resources and job samples. But always remember, your program of study doesn't have to determine your career!

Program Plans

Program Plans are quick and accessible overviews of the many academic and co-curricular opportunities available to help you get the most out of your UTM experience.

Tip Sheets

The Career Centre offers dozens of tip sheets with helpful information about topics related to searching for work, planning your career, and pursuing further education.

View to the U: An eye on UTM research

View to the U is a podcast that features U of T Mississauga faculty members from a range of disciplines who will illuminate some of the inner-workings of the science labs and enlighten the social sciences and humanities hubs at UTM.

Jessica Burgner-Kahrs

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Jessica Burgner-Kahrs is an Associate Professor in the Departments of Mathematical and Computational Sciences at U of T Mississauga and in Mechanical and Industrial Engineering at UofT, and the Director of the Continuum Robotics Laboratory at UTM, a newly established lab. Over the course of this interview Jessica talks about being at the forefront of continuum robotics, what inspires and influences her work in the lab, her global collaborations, and how she got into this field. 

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