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The
Department of Mathematics and Statistics offers a degree program leading to a
non-thesis Master of Probability and Statistics (M.P.S). This degree is designed
to provide a suitable mix of theoretical and applied background for students
interested in a career in statistics. The curriculum provides students with the
necessary technical, analytical and interpretive skills required of professional
statisticians while concentrating on education in the fundamentals of statistics
and its interdisciplinary nature. M.P.S. students are required to complete a
project that may involve
statistical consulting, programming and/or data analysis.
DEGREE REQUIREMENTS:
The department requires all candidates for the Master of Probability and
Statistics to take and pass a written exit examination. Exit exams are written
to fit the course background of all students taking the exam. At least three
members of the faculty, including members of the Masters Advisory Committee,
must take part in this examination.
Course Requirements:
A minimum of 30 credit hours
are required for the Master�s degree. A student may transfer up to six semester
hours of graduate level courses, earned with a grade of B or better from an
institution approved for this purpose by the Graduate School. The department
may waive some of the course requirements for those students who have taken
equivalent course work at another institution. Students must successfully pass
three hours of Project STAT 7980 and may count at most 3 additional hours of
69XX or 79XX course work toward the degree.
Required Courses:
STAT 7600
Statistical Theory I (3) pr. STAT 3600
STAT 7610 Statistical Theory II (3) pr. STAT
7600
STAT 7020
Regression Analysis (3) pr. STAT 7000
STAT 7840 Multivariate Analysis (3) pr. STAT
7000
Elective Courses:
STAT or STAT/MATH courses number 6000 and above, or applied probability and
statistics courses from outside the department with permission of the student's
advisory committee.
Project:
STAT 7980, 3 credit hours, required of non-thesis students may involve
statistical consulting, programming and/or data
analysis. It is intended to give students the opportunity to apply their
knowledge to real-world problems in a supervised setting.
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