Statistics - MS

The MS Statistics program prepares students for positions in industry or government, while providing them with the necessary applied and theoretical background to pursue PhD programs in statistics or biostatistics. Students may apply with an undergraduate degree in statistics, mathematics, or a wide variety of other disciplines, including the biological and social sciences. An advanced undergraduate class in probability and mathematical statistics and some programming experience (particularly in R) is desirable; classes in linear algebra and multivariable calculus are necessary. MS Stat students conduct research in areas such as Big Data, time series, statistical genetics, bioinformatics, computational statistics, data visualization, experimental design and biostatistics. Nearly all MS Statistics projects involve collaboration with researchers in other fields, including ecology, agriculture, genetics, cancer, finance, public health, nutrition, education and engineering.

Admission requirements can be found on the USU School of Graduate Studies website (https://gradschool.usu.edu/admissions/policies). Applicants are also expected to have a GPA in math/stat coursework of at least 3.5. Applicants must submit either Official GRE scores (GRE-Q at least 70th percentile, GRE-V of at least 40th percentile) or a research portfolio, consisting of (1) a research statement of no more than 2 pages including references, and (2) (optional) supplemental materials, such as abstracts, paper summaries, of no more than 3 pages. Papers can be provided in the form of web pages, DOIs, or arXiv preprints, but not the full documents.