Hire a Student in Statistical Sciences
Statisticians are at the forefront of navigating today’s data driven world.
Led by award-winning faculty members, statistical sciences students acquire skills to help businesses market products, researchers evaluate medical treatments, governments shape effective public policy and more.
Arts & Science Internship Program (ASIP) students receive extensive professional and skill development training and supports through the ASIP supplementary curriculum.
What Can Our Students Offer?
Statistical sciences ASIP students are enrolled in one of three competitive-entry programs: Data Science specialist, Statistical Science Methods & Practice specialist or Statistical Science Theory & Methods specialist.
By the End of Second Year:
- Data analysis using R and/or Python
- Communicate statistical findings to general audiences
- Write programs in Python
- Software design and development, Java (data science specialist)
By the End of Third Year:
- Understand and apply regression analyses and machine learning techniques when appropriate
- Design surveys and plan sampling strategies
- Design experiments and observational studies
- Limitations and biases due to data collection or statistical methods
- Create meaningful data visualizations
- Database management — SQL (data science specialist)
Where Do Our Students Work?
U of T’s statistical sciences students have worked with top employers across Canada and globally, including:
- Canada’s leading banks — Bank of Montreal, Canadian Imperial Bank of Commerce, Royal Bank of Canada, Scotiabank, TD Canada Trust
- Global accounting firms — Deloitte, Ernst & Young, KPMG, PwC
- Insurance — Economical Insurance, Manulife, Sunlife
- Pension boards — Canada Pension Plan, Healthcare of Ontario
- Pension plans — Ontario Teachers’ Pension Plan
- Federal, provincial, municipal governments
- Hospitals — Mount Sinai, St. Michael’s, Sunnybrook, SickKids
- University Health Network
- Higher education — University of Toronto
- Small-medium sized enterprises and start-ups across the country
What Can Our Students Do?
- Statistical and biostatistical analysis
- Investment and financial analysis
- Business analysis
- Data science
- Actuarial analysis
- Data analysis
- Data engineering
- Research analysis
- Statistical programming
- Research
- Market research
- Digital marketing
Our students can extract meaning from data and are well-positioned to make valuable contributions to all stages of data-driven inquiry. They are excellent problem-solvers who are able to think critically about data and the statistical process to help avoid common pitfalls and ensure accurate and trustworthy conclusions.
— Professor Bethany White, Associate Undergraduate Chair, Department of Statistical Sciences
Student Testimonial: Richard Yin
"The most rewarding aspect of my work term was the size of my research projects. They were substantial enough to hold practical value and accommodate complexity, yet manageable enough to allow me to engage comprehensively with each aspect of the project.
I felt supported throughout my work term. My teammates established a Discord server where we frequently exchanged progress updates, discussed bug fixes and shared ideas and problem-solving approaches. Additionally, we held weekly meetings with our supervisor, during which we outlined future plans and delved into various biology-related concepts we aimed to comprehend."
— Richard Yin, 2nd year data science specialist student, interning with the Pardee Lab
Connect with our talent!
Faculty of Arts & Science students are collaborative, adaptable, creative, analytical; they are solutions-focused, have strong research skills and are eager to contribute to their communities and society.