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Program
Requirements
Statistics,
MS
Campus
Location:
Main Campus
The business foundation classes are offered at both campuses throughout the year. Upper-level courses are not offered at all campuses. Courses are also offered on-line.
Full-time/Part-time
Status
Students are required to complete the degree program through classes offered after 4:30 p.m.
General
Program Requirements:
Number of Didactic credits
required beyond the Baccalaureate:
48
Required Courses:
Possible areas of specialization include most areas of statistical theory, biostatistics, and operations research. The faculty is currently engaged in research in the following areas: biostatistics, statistical inference theory and applications of experimental designs, survey sampling, linear models, sequential analysis, exploratory data analysis, regression analysis, nonparametric analysis, multivariate analysis, time series, stochastic processes, clinical trials, statistical computing, graphics, history of statistics, categorical data analysis, approximation theory, spline smoothing, health systems evaluation, pharmaceutical statistics, and operations research.
A listing of available courses can be found at: http://www.sbm.temple.edu/departments/statistics/graduatecourses.html
Possible areas of specialization include most areas of statistical theory, biostatistics, and operations research. The faculty is currently engaged in research in the following areas: biostatistics, statistical inference theory and applications of experimental designs, survey sampling, linear models, sequential analysis, exploratory data analysis, regression analysis, nonparametric analysis, multivariate analysis, time series, stochastic processes, clinical trials, statistical computing, graphics, history of statistics, categorical data analysis, approximation theory, spline smoothing, health systems evaluation, pharmaceutical statistics, and operations research.
The Statistics Department offers a series of courses, Statistics 550 through 558, designed specifically for the student who is not a statistics major but desires comprehensive training in the use of statistical techniques. Emphasis is on the application of the techniques to real-life problems.
Internship:
False
Language Examination:
False
Culminating
Events:
This program has no culminating events.
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