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