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When Sacha Tihanyi was halfway through an undergraduate economics degree at Laurentian University, he recognized a budding passion for mathematics. “I had many broad interests in school, but something flipped for me during that program, and I knew I needed to do a whole different degree focused on math,” he remembered. “I chose ��ݮ��Ƶ because it had a reputation as the best mathematics school in Canada.”

“Imagine being out on a lake on a windy day and you’re getting pushed around by waves,” says Marek Stastna, an oceanographer and professor in the Department of Applied Mathematics. “What you may not realize is that in the interior of the ocean, there are waves one hundred times that size. My passion is to create mathematical models of that type of movement.”

When Chris Salahub learned he could explore his passion for data in a dedicated math faculty at ��ݮ��Ƶ, the high schooler had an easy decision to make. Just two years after graduation, when he was on the verge of finishing a master’s degree in Switzerland, he decided to return for a second degree. “About halfway through my master’s, I realized I wanted to do a PhD,” he remembered. “It just made sense to go back to ��ݮ��Ƶ because I had discovered such a supportive community there.”

Like many of her peers, Paige McDougall entered the Faculty of Mathematics with more enthusiasm than direction. “I knew early on that math was a strong subject for me, but I had no idea where I would actually excel,” she acknowledged. With every new class and co-op term, she has found her way through the fog.

“Gaining broad technical skills in artificial intelligence and data science isn’t actually that challenging,” recognized Jaskirat Bhatia. “You can find countless tutorials on Youtube that will teach you the basics. But they can’t tell you which tools to apply to which problems. They can’t guide your learning in any way.” That’s where the Master of Data Science and Artificial Intelligence (MDSAI) comes in. 

Like many first-generation Canadians, Zahra Hirani (BMath’94) viewed higher education as a likely path to success after a rocky beginning. Born in Uganda to a family of Asian heritage, she and her parents and sister were forced to flee to Canada as refugees in 1974. “Growing up in Ottawa, it was really tough for us to get settled,” she remembered. Her parents emphasized education and she opted to study accounting at the ��ݮ��Ƶ Faculty of Mathematics, in large part because its co-op program would provide financial support in addition to relevant work experience. 

Lindsey Tulloch’s passion for computer science began when a close friend convinced her to install Linux on her desktop instead of Windows. “That’s certainly what got the ball rolling in my software development journey,” she recalled. “I’ve always been a problem solver—I enjoy the aspect of working through something and figuring it out on my own.” 

Keshav Chawla has long harboured a passion for computer science and finance. When he discovered a way to pursue both disciplines simultaneously through ��ݮ��Ƶ’s Computing and Financial Management program, his choice of university was clear. “I knew how robust and built-out the program was before coming in,” he explained. “Having that combination of both disciplines was the perfect fit for me.”

“I like to think I’m a curious person,” said Jennifer Haid (BMath ’04), a native of the ��ݮ��Ƶ Region. When she learned about ��ݮ��Ƶ’s Math Day from her high school math teacher, she decided to attend in hopes of learning about a career path that would leverage her aptitude for mathematics in the business world. “I remember watching a professor deliver a presentation about actuarial science and thinking two things: It was challenging, and I could do it,” she shared.  

The University of ��ݮ��Ƶ finds itself amongst the top universities in Canada and around the world, according to  worldwide university subject rankings.

Computer Science remains ��ݮ��Ƶ’s top-rated subject internationally, ranking 23. Mathematics ranks 35 globally, joining Computer Science in the top 100 this year along with 12 other ��ݮ��Ƶ programs. Mathematics and Computer Science are two of three university subjects in the top 50 globally.