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The Statistics Program at Syracuse University is an interdisciplinary program within the College of Arts and Sciences. It includes faculty from computer and information science, management, mathematics, psychology, and the social sciences, among others. It was created in 1989 by a team of faculty members from across the University in order to meet the growing demand for statistics training and advice at all levels of the academic community--undergraduate, graduate, and faculty. The Program offers an undergraduate concentration in applied statistics, sponsors a speakers series that hosts visiting statisticians and scientists, and offers an M.S. in Applied Statistics degree.
Statistics Courses:
A complete listing of courses in statistics and related subject matter may be found in both the Undergraduate Catalogue and the Graduate Catalogue. These courses are provided by various departments of the University, including Economics, Geography, Mathematics, Psychology, Public Affairs, Sociology, and other social sciences, and in the School of Management (in both "Managerial Statistics" and "Quantitative Methods'), Information Studies, Computer and Information Sciences and Engineering and the SUNY College of Environmental Sciences and Forestry. Each semester the Program compiles a descriptive listing of course offerings that provide basic instruction in statistical science and its applications. This listing appears regularly in the Time Schedule of Classes.
The Program Faculty:
There are more than 50 faculty members affiliated with the Program, distributed throughout the academic programs of the University. A list is available upon request. The Executive Committee includes:
Susan Borker, Sociology
Chung Chen, School of Management
Pinyuen Chen, Mathematics
Daniel Griffith, Geography
Silas Halperin, Psychology
Mark Miller, Computing Services
Kishan Mehrotra, Computer and Information Science
Jan Ondrich, Economics
Steve Stehman, SUNY College of Environmental Sciences and Forestry
Program of Study:
The Statistics Program accepts students having beginning through intermediate-level statistics training for study leading to the degree of Master of Science in Applied Statistics. This program includes faculty from computer and information science, management, mathematics, psychology, and the social sciences, among others. Sample curricula--featuring programs of study for environmental statistics, economic statistics, statistical computing, spatial statistics, managerial statistics, statistical sociology, psychological statistics, and mathematical statistics--are available upon request. Syracuse's program is distinguished from other graduate programs by its emphasis on applications. The interdisciplinary program in statistics is based in the College of Arts and Sciences but welcomes students from all schools and colleges at Syracuse University and College of Environmental Science and Forestry at State University of New York. Included among these may be students who are pursuing another degree, but might also wish to pursue the M.S. degree in Applied Statistics.
A beginning student normally will plan a two-year program of study. Degree requirements include completion of 33 graduate credits beyond the bachelor's degree that constitute a coherent program of study; this program must be approved by the student's advisor and the Program Director within the first semester after admission to the program.
All candidates for the M. S. degree must complete the set of four core courses (12 credit hours) comprised of MAT521 (Introduction to Probability and Statistics), MAT525 (Mathematical Statistics)-- students with a strong mathematics background are to take MAT625 and MAT626, instead--regression analysis (i. e. MAT627, PSY757, MAS766, APM630, ECN621, SOC714), and STT690 (Independent Study)--students from SUNY/ESF should register for FOR798 (Research Problems in Forestry), instead. The absence of either a comprehensive final examination or a Master's thesis is compensated for by an additional 3 credit hours of coursework, represented by STT690, whose objective is to apply knowledge of statistics to some real world problem. For those students who do not include STT620 in their program of study, STT690 should have a significant consulting component. In addition, four graduate courses (12 credit hours) are to be chosen from the list of available graduate statistics courses on campus. Students are expected to attend the speakers series sponsored by the Program, which hosts visiting statisticians and scientists on an average of once per month. In order to graduate, a student must earn:
- at least a B in each of the four core courses
- a GPA of 3.0 or better in this program of study leading to the M. S. in Applied Statistics
- no more than two C's in his/her statistics program coursework
Concurrent Degrees:
When the M. S. in Applied Statistics is a concurrent or sequential program of study, the maximum number of credits that can be counted toward both degrees is 20% of the combined total number of credits normally required for each of the separated degrees ("the 80% rule"). For instance, since the Applied Statistics Master's degree requires 33 credits, coupling it with another Master's degree requiring 30 credits means that only 21 credits beyond those required for the 30-credit degree may be needed in order to obtain an M. S. in Applied Statistics. In other words, no more than 12 credits of coursework may be counted towards both degrees. The student must have been admitted to both the Statistics Program and the other awarding academic unit, and the program of study for each of the degrees being earned must be filed by petition and approved by the Graduate School by the time of admission to the second degree program. Syracuse University and SUNY/ESF have agreements that encourage concurrent Master's study.
When a doctoral student is seeking the M. S. in Applied Statistics as a concurrent program of study, a committee of faculty members appointed by the Board of Graduate Studies will review both program of study. The "80% rule" still applies here; 20% of 33 credits plus the total number of credits required for the doctorate allows determination of the maximum number of credits taken in the doctoral program that can be counted toward the M. S. in Applied Statistics, and vice versa. For example, no more than 21 credits of coursework may be counted toward both degrees when a doctoral program requiring 72 credits is involved. Both programs of study should be submitted to the Graduate School before the additional Master's work is undertaken.
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Design of Experiments:
PSY 853
MAS 767
APM 620
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Sampling Theory:
MAS 765
APM 625
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Multivariate Methods:
PSY 857
APM 635
GEO 585
GEO 587
SOC 714
SOC 813
PPA 730
PSC 794
MAT 628
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Nonparametric Methods:
MAS 723
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Time Series Modeling and Analysis:
MAS 777
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Statistical Computing:
MAT 629
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Statistical Consulting:
MAT/STT 620
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Stochastic Processes/Markov Processes:
MAT 526
ECE 756
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Statistical Estimation and Hypothesis Testing:
MAT 624
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Statistical Simulation:
MAT 621
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Topics in Probability and Statistics:
MAT 720
MAT 721
MAT 722
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Ranking and Selection:
MAT 728
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Spatial Statistics:
GEO 686
GEO 786
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Economics:
ECN 622
ECN 720
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Admission:
All applicants are expected to have a basic foundation in statistical training comparable to one course in introductory statistics, one course in regression analysis, and four courses in application areas. Applicants may be asked to complete remedial coursework before being considered for admission to a degree program. Three letters of reference are to be submitted on behalf of the student, of which at least two being from his/her previous instructors. GRE scores, or their equivalent, and performance in a student's other degree programs will be carefully evaluated.
Internal applicants who are already enrolled in other graduate programs at Syracuse University or SUNY/ESF should contact Professor Pinyuen Chen (pinchen@mailbox.syr.edu) for application procedure.
Other applicants who are not graduate students at Syracuse University or SUNY/ESF should follow the regular application procedure required by the Graduate School.
Contact Information:
Contact: Sue Wadley
441 Hall of Languages
Syracuse University
Syracuse, NY 13244-1150
Telephone: 315-443-1011
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