STATISTICS
UNDERGRADUATE PROGRAMS
SPECIALIST • MAJOR • MINOR
Honours Bachelor of Sciences Programs in Statistics
The Department of Statistical Sciences offers several Statistics programs:
• Data Science Specialist with Computer Science
• Applied Data Science Minor with Computer Science
• Specialist in Statistical Science: Methods and Practice
• Specialist in Statistical Science: Theory and Methods
• Statistics Major
• Statistics Minor
In addition, the Arts & Science Internship Program (ASIP) stream is available to students enrolled in the Data Science Specialist, the Specialist in Statistical Science: Methods and Practice, and the Specialist in Statistical Science: Theory and Methods.
Students in Statistical Sciences’ programs of study use the tools of probability, statistical inference, and computation to make predictions and quantify uncertainty. Problem solving and professional practice skills in the context of realworld problems are woven throughout our programs.
Recent alumni have obtained positions in industry, government, and advanced academic programs, encompassing both tech and finance firms as well as master’s and PhD programs in statistics.
The explosion of interest in data science has triggered an accelerated expansion of the department’s inter-disciplinary research and a rapid growth of our community – from faculty to undergraduate and graduate students.
Department rankings:*
University rankings:* In Canada In Canada In the world In North America 1 1 5 12 # # # #
Reputation for excellence
At the Department of Statistical Sciences, our faculty, researchers and students exude a relentless dedication to excellence. Our global standings for academic and research performance are consistently ranked among the top statistics programs in the world by EduRank, Shanghai Rankings, and QS World University Rankings.
Faculty within the department developed many important innovations in statistical science. These include advances in foundational theory and methods, algorithms for statistical computation, machine learning, mathematical finance, statistical applications in science and humanities and the development of cutting-edge teaching methods and curricula in statistics. The importance of these innovations is reflected in the number of significant research and teaching awards bestowed on the department’s faculty, including the prestigious Committee of Presidents of Statistical Societies (COPSS) Award.
*EduRank 2024
Arts & Science Internship Program
The Arts & Science Internship Program (ASIP) stream is available to students who are entering Year 2 or Year 3 of study and enrolled in the Data Science Specialist, the Specialist in Statistical Science: Methods and Practice, and the Specialist in Statistical Science: Theory and Methods programs.
Mentorship Programs
STA130 Mentorship Program
The STA130 Mentorship Program is part of the introductory course for statistical sciences, actuarial science, or data science degrees. All STA130 students are automatically enrolled in this peer mentorship program.
Our current students are at the heart of the U of T Department of Statistical Sciences. Here’s what they have to say about their opportunity to get hands on research experiences.
Learn more:
Statistical Sciences Second-Year Learning Community (SLC)
A learning community for second-year students in the major or specialist programs. Upper-year mentors, faculty and professionals answer students’ questions on diverse topics including academic, grad school, and employment opportunities.
Statistical Science Alumni Mentorship
Program is part of the introductory course for statistical sciences, actuarial science, or data science degrees. First-year students are automatically enrolled in this peer mentorship program.
“As someone who initially wasn’t sure what area of statistics I wanted to pursue, U of T’s diverse and accessible professors made it really easy to have discussions with people/professors in a variety of fields to hone in on my interests. The opportunities to explore everything are at UofT.”
Sahil Patel, Statistics Alumni
Faculty of Arts and Science ASIP Program
A Statistics degree from U of T equips you with skills for solving real-world problems involving data and professional practice that prepare you for a diverse array of career paths. Our graduates find rewarding careers in numerous sectors, such as health and medicine, business, finance, technology, public policy, and government.
Most common job titles recorded by over 11,500 of our alumni include:
Community Careers
• Data Scientist
• Software Engineer
• Software Developer
• Senior Analyst
• Director of Data Science
• Methodologist
Statistical Sciences Student Union (SSU)
The SSU is a student organisation for undergraduate statistics students at the University of Toronto. It aims to broaden students’ understanding and emphasize the importance of statistics in our everyday lives while helping statistics to grow in popularity.
Sheeza
Khan, Statistics Alumni
• Professor of Statistics
• Quantitative Analyst
• Consultant
• Business Analyst
• Data Engineer
• Financial Analyst
Students in Data Science and Statistics (SDSS)
The SDSS is a club dedicated to bringing academic support, professional development, and community to the students at U of T. Through opportunities such as workshops, discussions, networking events, social events, panels, datathons, and more concerning all different sectors of Data Science and Statistics.
“One of the courses I took in my final year offered a practical experience of working with clients and tailoring analyses to meet their needs. This experience prepared me exceptionally well for the real-life work environment.”
ASA DataFest
DataFest is a global data analysis competition for undergraduate students organized by the American Statistical Association (ASA) and hosted by local universities/institutes. Students work on a dataset based on a real-world problem curated by the ASA and present findings to industry judges, with prizes for outstanding work.
Undergraduate Research
We offer a number of funded undergraduate research opportunities in statistics and data science:
• NSERC Undergraduate Student Research Awards (USRA)
• University of Toronto Excellence Awards (UTEA)
• Summer Undergraduate Research Award (SURA)
Before You Apply
Students are required to choose one admission category on their application. Students should apply to the Physical & Mathematical Science admission category on the St. George campus.
In your first year of study, you will take courses that are required for the program(s) you want to study in your second year, which means you will enrol in a program of study at the end of your first year. Programs at the Department of Statistical Sciences are accessible for the first time once a student has earned (or is currently completing) 4.0 credits.
We’re here to help you at each stage of the process. If you have any questions, do not hesitate to reach out.
Email: ug.statistics@utoronto.ca
More details about enrolment requirements can be found on the Arts & Science Academic Calendar.*
How to Apply to Our Undergraduate Programs
If you are a Faculty of Arts & Science student and meet enrolment requirements, please log in to ACORN:
Step 1 | Select Enrol & Manage from under Academics on the menu at the left-hand side of the page.
Step 2 | Click on Programs.
Step 3 | In the “Add a Program”-box, enter the code of the statistical sciences program listed below:
ASSPE1687
ASMIN0160
ASSPE2270
ASSPE2290
ASMAJ2289
ASMIN2289
• Data Science Specialist
• Data Science Minor
• Specialist in Statistical Science: Methods and Practice
• Specialist in Statistical Science: Theory and Methods
• Statistics Major
• Statistics Minor
Program application dates, stages and steps can be found on the Arts & Science Program Toolkit website.**
Department of Statistical Sciences
University of Toronto 700 University Ave, 9th Floor Toronto, Ontario, M5G 1Z5
Department of Statistical Sciences
University of Toronto
700 University Ave, 9th Floor
Toronto, Ontario, M5G 1Z5 statistics.utoronto.ca
