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Statistics is a dynamic discipline focused on creating and evaluating techniques for gathering, modeling, and interpreting data. Statistical approaches are now fundamental across scientific disciplines and modern society, particularly in our era of expanding digital dependence. The M.S. in statistics delivers advanced instruction in both traditional and contemporary analytical methods while establishing strong theoretical and practical foundations. As careers in data science and tech-related fields surge, you'll gain valuable expertise in statistical modeling and computational techniques.
As a leading research institution, UNH fosters extensive data-centric scientific exploration. Students enjoy abundant chances to engage in cross-disciplinary, data-intensive research. This program's comprehensive training prepares graduates to emerge as pioneers in statistical innovation, particularly within industrial applications. Our faculty experts cover diverse specialties like nonparametric estimation, experimental design for breakthroughs, statistical learning, data mining, environmental statistics, spatial analysis, time series, and climate statistics. Most coursework is available online or through hybrid formats. Students can typically finish this M.S. program within three semesters.
Applicants for the M.S. in statistics will typically have an undergraduate degree in the mathematical, physical, biological, or social sciences or in engineering? must have completed mathematical coursework at least through multivariate calculus? and must have knowledge of basic statistics and basic linear algebra at the undergraduate level.
English Language Score:
Minimum score requirements are as follows: TOEFL (Computer-based): 213; TOEFL (Internet-based): 80; IELTS (International English Language Testing System): 6.5; TOEFL ITP (Institution Administered): On case-by-case basis; TOEIC (Test of English for International Communication): On case-by-case basis; Pearson Test of English (PTE) Academic: 59.
Applications must be completed by the following deadlines in order to be reviewed for admission: Fall: April 1 (recommended US; final international); July 1 (final); Spring: Dec. 1.