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Binghamton University, State University of New York

Program in Applied Statistics

Binghamton, NY

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Overview

Pursue the Master of Arts in Statistics at Binghamton University

Binghamton University, State University of New York (SUNY), one of four university centers in the State University of New York system, is a premier research university located in the Southern Tier of New York with a reputation for academic distinction.

The Department of Mathematical Sciences offers a Master of Arts in Statistics degree program. Applicants should have a bachelor's degree in a STEM (science, technology, engineering, or mathematics) subject area or a background in a quantitative-oriented field such as finance, accounting, business, or management.

Learn real-world applications of statistics and mathematics

The Master of Arts in Statistics degree program at Binghamton University provides students with a solid foundation of real-world knowledge and experience to work in a variety of fields that require data crunching and quantitative analysis. The rigorous curriculum, taught by tenured and tenure-track faculty, emphasizes faculty guidance and support and offers regular seminars, such as the annual Peter Hilton Memorial Lecture, where distinguished mathematicians and scholars are invited to discuss their research.

Students have opportunities to sharpen their comprehension of statistical methods, improve their communication skills, and work with faculty and the department to network and make connections with local industry and government. Graduates are prepared for employment in a wide spectrum of industries in roles as statistical consultants; risk managers; insurance actuaries; quants and traders; production/manufacturing quality control managers; market researchers; sports statisticians; economists; biomedical, biometrics, and bioinformatics researchers; sociology researchers; pharmaceutical biostatisticians; and government statisticians. The U.S. Department of Labor predicts that the job outlook for statisticians is expanding much faster than it is for other occupations.

Curriculum and coursework

Students in the MA in Statistics degree program are immersed in statistical computing, software, and practical training throughout the entire course of study. They complete 6 core courses, 4 elective courses, and 2 capstone seminars. An exit exam or final thesis is not required.

In the first year, students finish the core coursework, which includes Probability, Statistical Inference, Linear Algebra for Statisticians, Regression I and II, and Multivariate Analysis. In the second year, students take their 4 elective courses and 2 capstone seminars. Students may choose from a range of courses, including Data Analysis, Statistical Learning and Data Mining, Nonparametric Smoothing and Semiparametric Regression, Reliability, Nonparametric Inference, Design of Experiments, Time Series Analysis, and Probability and Stochastic Processes.

Students in the program are expected to be technologically curious and familiar with a variety of business and statistical software, including WinBUGS, Matlab, SAS, Python, ActivePerl, MySQL, Minitab, Linux/UNIX, SSH Secure Shell Client, MiKTex, and others.

Accomplished faculty

More than 90% of full-time faculty members at Binghamton University hold a PhD or the highest degree in their discipline. The work of these faculty members has been recognized with a range of honors and awards, including Fulbright, Ford, and Guggenheim fellowships; National Science Foundation and National Book awards; and grants from the National Institutes of Health and the U.S. Departments of Energy, Defense, Commerce, and Education.

The faculty in the Statistics program in the Department of Mathematical Sciences includes Vladislav Kargin, whose main research interests are in random matrices and applications, particularly statistical analysis of large data, zeroes of zeta functions, statistical mechanics of random media, and free probability; Aleksey Polunchenko, who studies sequential analysis and quickest change-point detection; and Qiqing Yu, who concentrates his research in survival analysis, statistical decision theory, and statistical modeling for genomic data.

Financing your education

Graduate students at Binghamton University obtain financial support from a variety of sources, including loans, grants, assistantships, fellowships, scholarships, research and travel funding, federal work-study, and part-time employment. Learn more on Binghamton's website (https://www.binghamton.edu/grad-school/cost-aid-funding/).

Location & Contact

Address 4400 Vestal Parkway East
Binghamton, NY  13902-6000
United States

Phone: 607-777-2000
Binghamton University, State University of New York
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