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Mathematical Statistics and Probability.

A program that focuses on the mathematical theory underlying statistical methods and their use. Includes instruction in probability theory parametric and non-parametric inference, sequential analysis, multivariate analysis, Bayesian analysis, experimental design, time series analysis, resampling, robust statistics, limit theory, infinite particle systems, stochastic processes, martingales, Markov processes, and Banach spaces.

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Use the Related Careers section above to see roles commonly linked to this field of study. Data is based on CIP–SOC crosswalk and BLS occupational data.

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Salary and employment data come from the U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) and Employment Projections.

Data sources: Bureau of Labor Statistics (BLS), National Center for Education Statistics (NCES).

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Career Paths 5
Degree Level Bachelor
Code 27.0502

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