Data Science

The University of Waterloo’s Data Science Certificate program, developed in collaboration with the University of Toronto’s School of Continuing Studies, provides a comprehensive foundation in predictive analytics, machine learning, and big data technologies. Designed for professionals seeking to enter or advance in the data science field, the program explores advanced statistical modeling, neural networks, deep learning, and the programming tools essential for data extraction, analysis, and visualization. It also addresses critical topics like data security, compliance, and privacy, aligning closely with the seven domains of the INFORMS Certified Analytics Professional (CAP) certification.

Delivered fully online over four structured courses, the certificate is built for working professionals, offering flexible access to instructor support, webinars, group work, and peer collaboration. Each 12-week course incorporates practical, hands-on learning through Jupyter notebooks, real-world coding assignments, and guest lectures from industry experts. Participants complete individual and group projects that mirror the real-world demands of data science roles across sectors such as business intelligence, marketing, operations, and more—equipping graduates with the skills and confidence to thrive in the growing world of data-driven decision-making.

Admission Requirements

• A degree in Engineering, Mathematics, or Computer Science is recommended, but not required.
• Basic knowledge of programming and programming languages is strongly recommended.

What You’ll Learn

• Explore the evolution of data science and predictive analytics.
• Know statistical concepts and techniques including regression, correlation, and clustering.
• Apply data management systems and technologies that reflect concern for security and privacy.
• Adopt techniques and technologies including data mining, neural network mapping, and machine learning.
• Represent big data findings visually to aid decision-makers.