Master of Mathematics in Statistics

The Statistics graduate program at Waterloo is a highly reputable program and is designed to prepare students for employment as statisticians in private industry, government, or academia. The program provides students a solid background in statistical theory and can be used as a stepping stone to a doctoral degree in statistics or another related field. Both the MMath in Statistics and PhD in Statistics seek to establish a firm foundation in the fundamentals of statistical theory and methodology and its correct applications, providing students practical experience with applied methods, including statistical computing and statistical consulting, that is highly valued by industry and government employers. A core of required courses provides a thorough grounding in the theory and methodology needed for the design of experiments and the collection and analysis of data. Possible areas of specialization include most areas of statistical theory, although the faculty is currently engaged in research in the following areas: biostatistics, business and industrial statistics, statistical inference, survey sampling, linear models, exploratory data analysis, statistical machine learning, survival analysis, non-parametric methods, statistical geometry, time series, stochastic processes, and statistical computing.

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