Our Undergraduate Programs

We offer a wide range of programs to meet the needs of undergraduate students interested in foundational and applied statistics, data science and actuarial science. 

Statistics Undergraduate Programs





Statistics Methods & Practice
Statistics Theory & Methods


Whether you would like to specialize in statistics, or you are planning on majoring in a different field: our courses will teach you skills that are highly valued across a wide range of disciplines.  

Students enrolling in our Specialist Programs are encouraged to include courses in fields that apply statistics, such as computer science, sociology, psychology, geography, human biology, medicine, economics, and many more. Our Major Program can be profitably combined with specialization in another discipline. 


Data Science Undergraduate Program





Data Science


The field of data science is a combination of statistics and computer science methodologies that enable learning from data. Students in this program will benefit from a range of advanced courses in computer science and statistics, as well as a sequence of three integrative courses designed especially for this program. 


Actuarial Science Undergraduate Programs





Actuarial Science


Our Actuarial Science Programs are fully accredited under the Canadian Institute of Actuaries University Accreditation Program (UAP). Under the new UAP, students who have completed 16 mandatory courses from our programs are eligible to take the open-book capstone exam through CIA and obtain the ACIA professional credential. Our programs are also recognized as a Centre of Actuarial Excellence under the Society of Actuaries Centers of Actuarial Excellence (CAE) Program. In 2019, we received the Casualty Actuarial Society (CAS) University Award for "the innovative and exemplary ways" our programs are preparing students for their career.


Expand Your Skillset 

Our undergrad programs will prepare you for your next career step by teaching you how to think critically, solve problems and analyze data.

  • think critically and exercise logical reasoning 

  • apply difficult and complex concepts to solve problems 

  • perform data analyses and recognize patterns 

  • identify relevant and extraneous data 

  • use advanced computational skills 

  • understand algorithms and processes 



Statistical sciences have a wide range of applications – in society and across various industries.

Statistical methods have many important uses – from investigating the outbreak and prevention of infectious diseases to predicting the outcome of elections or mapping animal populations threatened by extinction.  

A degree in statistics is excellent preparation for a career in any field that requires quantitative analysis. The practising statistician is involved in projects that span sectors, including health and medicine, business, finance, technology, public policy and government.  

That's why it is often a good idea to combine your studies in statistics with the study of another field that uses statistical methods.  

Learn more about admissions to our undergrad statistics programs.

Data scientists have both the statistical and computational skills to manage and make sense of large amounts of data.

Data scientists develop software to extract and analyze valuable knowledge from massive datasets. They help companies and other organizations to identify what types of data will be useful, and then develop algorithms that can capture and analyze this data. A program of study that combines statistics with computer science is excellent preparation for a career as a data scientist.  

Learn more about admissions to our undergrad data science program.

Should smokers pay more for their health insurance? Should younger drivers pay higher car insurance premiums? Actuaries answer questions like these to ensure that insurance and pension organizations can pay their claims and maintain a profitable business.

Actuaries are the chief architects of life, health, and property insurance plans, and pension plans. They apply mathematical techniques to make sure these plans are financially sound and reduce the impact of hazards, such as loss of income through disability or retirement, or loss of property through fire or theft. By using concepts from the areas of probability and finance, actuaries model, forecast and value the cost of benefits insurances provide to people.  

Methods developed for modelling insurance risk can also be applied to modelling investment risk. Actuaries also apply their expertise to the valuation of sophisticated investment vehicles such as options on equities, bonds and other investment derivatives.  

Learn more about admissions to our undergrad actuarial science programs.