PhD in Statistics in Waterloo Canada | University of Waterloo

The Statistics graduate program at Waterloo is a prestigious and well-regarded initiative that equips students for careers as statisticians across various sectors including private industry, government, and academia. This program offers a strong foundation in statistical theory and serves as a pathway to pursuing a doctoral degree in statistics or related disciplines. Both the MMath and PhD programs in Statistics focus on building a robust understanding of core statistical principles, methodologies, and their proper implementation, while also giving students hands-on experience with applied techniques such as statistical computing and consulting—skills highly sought after by employers. A set of mandatory courses ensures comprehensive training in the theory and methods essential for experimental design, data collection, and analysis. Students can specialize in diverse areas of statistical theory, with faculty currently conducting research in fields like biostatistics, industrial statistics, statistical inference, survey sampling, linear models, data exploration, machine learning, survival analysis, non-parametric methods, statistical geometry, time series, stochastic processes, and computational statistics.