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Admission to the Masters' Program
It is necessary to have an undergraduate degree, not necessarily in mathematics or statistics, to begin a program of study toward the M.S. degree in statistics.
It is expected that some students will be admitted to the program who have either a bachelor's degree or a master's degree in some other field.
However, the student should have a mathematical background which, as a minimum, is equivalent to the mathematics courses:
- MATH
2144: Calculus I
- MATH
2153:
Calculus II
- MATH
2163: Calculus III
- MATH 3013:
Linear Algebra
- MATH
4013: Engineering Mathematics: Calculus of Several Variables
Students admitted to the program with deficiencies will be required to remedy such deficiencies.
In addition to the above courses, each student is required to complete COMSC
1113 or to demonstrate competence in a procedure oriented language such as FORTRAN.
Credit Requirements
The M.S. Degree can be earned by one of the following
plans:
- Plan 1-- 30 hours with thesis (max. 6 hours for
thesis)
- Plan 2-- 32 hours with report (max. 2 hours for
report)
- Plan 3-- 36 hours with no report or thesis
Either a report or a thesis is recommended for the
student who plans to pursue a Ph.D. in the immediate future. The third plan
will be initiated by the Statistics faculty. This must satisfy the Plan 3
requirement of the Graduate College. A creative component must be identified on
the plan of study. See the Graduate Catalog for details.
Required Courses
- STAT 4091
(5910): SAS Programming
- STAT
5013: Statistics for Experimenters I
- STAT
5023: Statistics for Experimenters II
- STAT
5063: Multivariate Methods
- STAT
5123: Probability
- STAT
5223: Inference
- STAT
5303: Experimental Design
- STAT
5323: Linear Models I
- STAT
5333: Linear Models II
-
A
three-hour 4000 level or higher graduate course, excluding those with STAT
or MATH prefixes, is required. The
following courses will NOT be allowed to count toward this outside course:
AGEC
5103 Mathematical Economics, BAE 5513
Experimental Engineering Analysis, ECON 4213 Econometric Methods, IEM 5003
Stochastic Processes, IEM 5133 Statistics and Research Methods, PSYC 5303
& 5313 Quantitative Methods in Psychology I & II, REMS 5013 Research
Design and Methodology, REMS 5953 Elementary Statistical Methods in
Education, REMS 6003 Analyses of Variance, REMS 6013 Multiple Regression
Analysis in Behavioral Studies.
Plan of Study
The plan of study must be completed prior to enrollment in the 17th credit hour.
The responsibility for doing so rests with the student and his/her advisor. STAT 3013 Intermediate Statistical Analysis, STAT 4013 Statistical Methods I, STAT 4023 Statistical Methods II, STAT 4203 Mathematical Statistics I, STAT 4213 Mathematical Statistics II, STAT 5013 Statistics for Experimenters I are not allowed on the plan of study.
The remainder of the core requirements constitute 22 hours of the hours required, and these typically appear on the plan of study with the outside course.
The remaining hours should be used to work toward the student's objectives.
Twenty-one hours of 5000 level credits are required. It is recommended that students planning to work toward a Ph.D. in statistics include two semesters of advanced calculus
(MATH 4143 and MATH 4153).
All required courses must appear on the plan of study. Exceptions will be evaluated on an individual basis.
At most one grade of C will be allowed in the courses STAT 5123 Probability, STAT
5223 Inference, STAT 5303 Experimental Design, and STAT 5323 Linear Models I.
Examination Over Course Work
Each student must pass a comprehensive examination covering material from STAT
5123 Probability, STAT 5223
Inference, STAT 5303 Experimental Design, and STAT 5323 Linear Models I. There is no limit to the number of times a student can take the exam. However, faculty initiated remedial action may be required before a third or later attempt. Students will be evaluated based on the results of all subjects simultaneously.
Graduate College Requirement
All requirements listed in the Graduate Catalog
must be
satisfied.
Defense
Please see the
Guide to Defense Presentations
for information on the defense of the project or thesis.
Application Information
Last update:
08/24/2006
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