The Master of Science program in Applied Statistics is a professional degree program administrated by the Interdisciplinary Statistics Program based in the College of Arts & Sciences. The program prepares students to apply cutting-edge statistical methodologies and theory in making meaningful inferences on the measurements obtained from government, health science and services, industry, and management. Created in 1989, the Applied Statistics Program at Syracuse University is an interdisciplinary program within the College of Arts and Sciences that includes faculty from computer and information science, management, mathematics, psychology, and the social sciences, among others. The program offers an undergraduate concentration in applied statistics, sponsors a speakers series that hosts visiting statisticians and scientists, and offers a master’s degree in applied statistics.
Khoa bạn sẽ vào học
College of Arts and Sciences
Các hình thức học tập
Toàn thời gian
(4 học kỳ)
Học phí
US$36,270.00 (916,724,258 đ)
một năm
Health insurance - $2,664
Ngày bắt đầu
Tháng Tám 2027
Địa điểm
Syracuse Campus
900 South Crouse Ave.,
Syracuse,
New York,
13244, Northeast, United States
Yêu cầu đầu vào
Dành cho sinh viên quốc tế
The masters degree in applied statistics requires completion of 33 graduate credits. Each candidate must submit a coherent program of 11 courses beyond the bachelors degree, subject to the following requirements.
As an applicant to one of our graduate programs, youll need to provide official documentation of having earned at least a U.S. bachelors degree (or its equivalent) in another country.
Within the first semester after admission to the degree program, the students will plan their course of study in consultation with their advisors and submit it for approval to the Statistics Program Director. In order to graduate, a student must earn (1) at least a 3.0 grade in each of the four core courses, (2) a GPA of 3.0 or better in this program of study leading to the M.S. in applied statistics, and (3) no more than two Cs in his/her statistics program coursework.
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