The Department of Statistics and Actuarial Science is a top-tier academic unit among statistical and actuarial science globally. Our community is engaged in topics such as actuarial science, biostatistics, data science, quantitative finance, statistics, & statistics-computing. Our department is home to 70 full-time faculty researching diverse and exciting areas, over 2000 undergraduate students from around the world, and approximately 200 graduate students in master, doctoral, and professional programs.
News
Dr. Mu Zhu appointed first associate dean for AI Strategy
“I expect my main role will be to help build up our reputation in AI-related research for the Math Faculty,” Zhu says.
Doing good really does pay: the financial case for sustainable investing
UWaterloo researcher Tony Wirjanto finds that investment strategies built on ESG principles deliver stronger, more resilient returns — even during times of economic stress.
Read the full story on the School of Accounting and Finance website.
Historical additions: a look back at the construction of Waterloo Math
In honour of Math 4, we’re looking back at the other buildings on Waterloo’s “Math Campus,” and how they came to be.
Events
Florence Nightingale Day 2026
Canadian Statistical Sciences Institute (CANSSI) and the Department of Statistics and Actuarial Science are pleased to host our first Florence Nightingale Day on Saturday, February 28, 2026.
Open to high school students in grades 10–12 across the Waterloo Region, the event will feature hands-on activities, games, and panels of professional speakers, followed by networking and lunch. Registration is limited to the first 30 participants on a first-come, first-served basis.
Florence Nightingale Day promotes gender diversity in statistics and data science by encouraging and inspiring people of underrepresented genders to explore these fields. Named after Florence Nightingale, a pioneer of modern nursing and early innovator in data visualization, the event celebrates her legacy and the contributions of women in statistics, while showcasing career opportunities and mentorship in data science.