Statistics
Chair of the Department: Ibrahim Ahmad
Graduate Program Coordinator: James R. Schott
CCII 205, (407) 823-2797.
E-mail: jschott@pegasus.cc.ucf.edu
Faculty
Professors: I. A. Ahmad, Ph.D.; M. E. Johnson, Ph.D.; G. D. Richardson, Ph.D.; J. R. Schott, Ph.D.Associate Professors: L. L. Hoffman, Ph.D.; D. Nickerson, Ph.D.; M. Wang, Ph.D.
Assistant Professor: L. Gou, Ph.D.; M. Jamshidian, Ph.D.; W. Liu, Ph.D.; M. Pensky, Ph.D.; Y. Zhang, Ph.D.
Instructors: C. E. Cutchins, M.S.; S. C. Schott, M.S.
Associate in Statistical Computing: J. W. Pepe, M.S.
Master of Science in Statistical Computing
The master’s program provides a sound foundation in statistical theory, statistical methods, numerical methods in statistical computing, and the application of computer methodology to statistical analyses. The program is particularly well-suited for those individuals who have completed an undergraduate program in mathematics, statistics, or computer science, but is also available to persons in other disciplines who wish to develop an expertise in data analysis and statistical computing. Most graduate courses are offered during the late afternoon or evening hours in order to accommodate part-time and working students. Additional information about the program, the department, and its faculty can be found on our webpage at jschott@pegasus.cc.ucf.edu.Application Deadlines
| Fall admission | July 15 |
| Spring admission | December 1 |
| Summer admission | April 15 |
Admission
The Graduate Record Examination (GRE) is required of all graduate students. Minimum requirements in order to be considered for admission to the graduate program in Statistical Computing are the standard university criteria of a grade point average (GPA) of 3.0 for the last 60 attempted semester hours of credit earned toward the baccalaureate or a GRE score of at least 1000 on the combined verbal-quantitative sections of the General (Aptitude) Test. The GRE score must be less than five years old. International students and students whose native language is not English must score at least 220 (computer-based test; or equivalent score on the paper-based test) on the Test of English as a Foreign Language (TOEFL).Students entering the graduate program should have a good working knowledge of at least one programming language, and should have taken undergraduate courses in calculus, matrices (or linear algebra), and statistical methods. Those students who are not adequately prepared in these areas may need to complete some undergraduate course work before beginning their graduate program. Applicants not qualified for regular graduate status may be initially admitted to the university in non-degree-seeking status and later admitted to regular status once all deficiencies have been eliminated, although only nine hours taken as a non-degree-seeking student will count toward a graduate degree.
Degree Requirements
The Statistical Computing degree requires a total of 36 semester hours, with a minimum of 30 hours of course work.
Required Courses—21 Semester Hours
STA 5205 Experimental Design (3 hours)
STA 6106 Statistical Computing I (3 hours)
STA 6236 Regression Analysis (3 hours)
STA 6326 Theoretical Statistics I (3 hours)
STA 6327 Theoretical Statistics II (3 hours)
STA 6329 Statistical Applications of Matrix Algebra (3 hours)
Select One:
STA 6246 Linear Models (3 hours)
STA 6707 Multivariate Statistical Methods (3 hours)
Restricted Electives—15 Semester Hours
Other statistics courses will be selected by the student in consultation with the adviser. Certain
graduate courses in computer science, mathematics, and engineering may be selected if approved by
the Department of Statistics.
Examination
All students must take a comprehensive written examination covering the courses STA 6236, STA 5205,
STA 6326, and STA 6327. For full-time students, this examination normally will be taken just prior
to the start of the second year of graduate work.
Minimum Hours Required for M.S.—36 Semester Hours
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