Statistics

The statistics MS is an applied statistics degree that prepares outstanding students for successful and productive careers. The graduate curriculum is designed to equip students with the decision-making skills necessary for successful careers as professional statisticians. Although a firm foundation in theoretical statistics is provided, most of the courses are applied in nature, offering approaches to the solution of important real-world problems. In recent years, the department has seen 100% post-graduation placement of its master’s students.

Below, you’ll find video interviews with grad students and basic info on the program. For more details and to apply, visit the department page and BYU Graduate Studies.

Research Areas

  • Biostatistics

    Biostatistics

    Biostatistics deals with a variety of projects, one of which includes neuroimaging. Students in this group get to explore some of the countless mysteries of the brain. For one project, researchers observed scanned brain images and noticed that the proportions of a healthy individual’s brain were different from those of someone with such ailments as autism, dementia, and traumatic brain injury. This information may lead to better treatment methods and more accurate diagnoses.
    Areas of Emphasis

    Bayesian methods for ordinal data, bioinformatics, causal inference, computational biology, high dimensional data, infectious disease, fMRI imaging studies, microarrays, neuroimaging, statistical application in medicine, statistical genomics, statistics in cancer genomics, and translational cancer research

    Associated Faculty
    Natalie Blades
    David Engler
    Shannon Neeley

  • Environmental Statistics

    Environmental Statistics

    This research area involves numerous projects such as climate change and air quality. By building statistical models, students seek to better understand nature’s complex systems and how they work. This can be challenging, however, due to weather’s random behavior. If you are interested in becoming one of nature’s guardians, consider getting involved in environmental statistics.
    Areas of Emphasis

    Data collection and analysis in environmental sciences, air and water quality, developing statistical models and methodology for complex climate problems, climatology and paleoclimatology, multivariate analysis pollution source apportionment, resampling methods, spatial and environmental statistics, atmospheric science, toxicology, and human health

    Associated Faculty
    Candace Berrett
    William Christensen
    Shannon Neeley
    Shane Reese

  • Chemometrics

    Chemometrics

    If you want to get deep into problems worthy of sci-fi thrillers, chemometrics may be your promised land. Researchers in this area identify dangerous chemicals and find ways to combat them. Because this discipline is a mixture of statistics and chemistry, computer models and statistical methods are heavily utilized to solve problems. One project of the BYU chemometrics group involved creating a computer model to determine whether a substance was anthrax-causing bacteria or a closely related yet harmless genetic neighbor.
    Areas of Emphasis

    Multivariate statistics, applied mathematics, computer science, chemistry, biochemistry, medicine, biology, and chemical engineering, experimental design, stochastic modeling

    Associated Faculty
    William Christensen
    Dennis Tolley

  • Reliability and Industrial Statistics

    Reliability and Industrial Statistics

    Shane Reese, one professor in this area, has taken his research to a mind-blowing level by calculating the uncertainty of aging U.S. nukes. Normally, the government selects eleven weapons at random from each of their nine stockpiles. Scientists then dismantle the sampled weapons and inspect every component for signs of degradation. The purpose of Reese’s study is to compare how the level of reliability would change if fewer nukes were inspected each year or none at all.
    Areas of Emphasis

    Bayesian hierarchical models, computational fluid dynamics, computational physics, control charts, data mining, design and analysis of experiments, nonlinear field theories, reliability engineering, statistical computing, and statistical process control

    Associated Faculty
    Scott Grimshaw
    John Lawson
    Shane Reese

  • Ecological Statistics

    Ecological Statistics

    In this research area, you can emphasize in a variety of disciplines including experimental design. Experimental designs use statistics to create more efficient ways to obtain data and results. For example, if the isolation of variables is like trying to measure a customer’s satisfaction based on every single piece of a product, experimental designs combine all the pieces and judge satisfaction based on a complete product.
    Areas of Emphasis

    Categorical data, design of experiments, graphical analysis, mixed linear models, small sample inference, and statistical computing

    Associated Faculty
    Dennis Eggett
    Bruce Shaalje
    Del Scott

  • Statistics in Health

    Statistics in Health

    During the 2004 Olympics, Dr. Fellingham and Dr. Reese were requested by the U.S. Olympic committee to evaluate the men’s volleyball team. Their research included determining which skills were most important in the team dynamic and what combination of serves, passes, and kills were most successful in earning points. Then Fellingham and Reese refined their model and applied it to the 2012 U.S. women’s volleyball team.
    Areas of Emphasis

    Bayesian hierarchical models, Bayesian nonparametrics, mixed models, sports and human performance, sports statistics, and epidemiology

    Associated Faculty
    Dennis Eggett
    Gil Fellingham
    Shane Reese

  • Statistics in Business

    Statistics in Business

    In this area of research, many students choose to study actuarial science. Actuarial science is a discipline that combines mathematical and statistical concepts and applies them to businesses to assess financial and insurance risks.
    Areas of Emphasis

    Data mining, linear models, statistical computing, actuarial science, audience measurement and analytics, and quality control

    Associated Faculty
    Bruce J. Collings
    Scott Grimshaw
    David Whiting

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