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Engineering

MS Statistics and Analytics at University of Arkansas

University of Arkansas, United States

Programme overview

The MS in Statistics and Analytics is a 30-credit-hour cross-college programme drawing on Arts and Sciences, Business, Education and Health Professions, and Engineering. Students choose one of seven concentrations.

Faculty: Graduate School  |  Department: Statistics and Analytics (cross-college interdisciplinary programme)  |  Study mode: full-time  |  Location: Fayetteville, AR, United States

What you will study

A 12-hour core with one course each in statistical methods, regression analysis, multivariate analysis and experimental design, plus concentration courses. Concentrations are Biological Analytics, Business Analytics, Computational Analytics, Educational Statistics and Psychometrics, Operations Analytics, Quantitative Social Science and Statistics, each with its own undergraduate deficiency courses.

Official programme page

Application information

Entry requirements

Admission to the Master's Program: In addition to the requirements of the Graduate School, applicants for admission to the M.S. program in Statistics and Analytics must submit a) three letters of recommendation from persons familiar with the applicant’s previous academic and professional performance and b) official test scores as specified for the applicant’s area of interest. M.S. in Statistics and Analytics with Concentration in Biological Analytics

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate entry terms: Fall, Spring and Summer sessions.

Graduate School application deadlines: August 1 for fall, December 1 for spring, April 15 for summer sessions; some departments set earlier deadlines. The application fee is $60 for new applicants; $30 for returning UA graduate students.

Law (JD): priority application deadline April 15, with rolling review after that date; admission is for the full-time program in the fall.

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