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Tuesday, September 2, 2025 11:30 am - 1:30 pm EDT (GMT -04:00)

Data Science Fall 2025 Orientation

This event is a great opportunity to get to know the program, meet faculty and fellow students, and prepare for a successful start to your studies.

Registration required. Incoming students, please check your inbox for details on how to register.

Grad Orientation Schedule for September 2, 2025

1. Faculty of Mathematics Grad Orientation | 8:45 am - 11:20 am | Breakfast & presentations

2. Data Science Orientation | 11:30-1:30 pm | Lunch & presentations ​​​​​​​

3. UW Campus Wide Graduate Orientation | 1:30 pm to 9 pm 

We look forward to welcoming you to that data science community and helping you kick off an amazing academic journey!

Monday, October 6, 2025 - Wednesday, December 31, 2025 (all day)

Noureen Syed on AI leadership and empathy at IBM Consulting Canada

Women in Data & AI (WiDA) at Waterloo 

Episode 1 — Canadian Women Shaping AI | Noreen Syed, IBM Consulting Canada 

Kicking off Canadian Women Shaping AI with Noureen Syed, Partner at IBM Consulting Canada and proud UWaterloo alum. We dive into her journey from engineering at UWaterloo to leading AI transformations across Canada - and how empathy, curiosity, and strategy define impactful leadership in tech.

Tuesday, October 14, 2025 - Wednesday, December 31, 2025 (all day)

AI Future Leaders: Alina Rivilis on Data, Ethics & the Next Generation of AI

In this episode of Canadian Women Shaping AI, we sit down with Alina Rivilis — CEO & Co-Founder of AI Future Leaders and Director of Data Science & AI at Home Trust Company — to explore how data, ethics, and innovation come together to shape the future of AI.

With over 25 years of experience in Enterprise Technology, AI strategy, and Data Science Leadership, Alina has built a career at the intersection of innovation and integrity. Through AI Future Leaders, she is helping schools, organizations, and individuals adopt AI responsibly while fostering critical thinking and creativity.

In our conversation, we discuss what it means to build trust in data-driven systems, how ethical education can fuel innovation, and why preparing people — not just technology — is at the heart of a sustainable AI future.