Profile
The Master's Program in Applied Statistics will give the student an extensive and broad background in statistical methods, data analysis, and written and oral presentation skills. This degree is a terminal experience in graduate statistical education and should not be viewed as preparatory for entrance into a Ph.D. program in statistics. Graduates will have the necessary background to work as data management specialists, statistical analysts, and as project managers within a wide range of research organizations.
Coursework
In addition to the general requirements of the
Graduate School all candidates for the MS (Plan B Option 1) degree must
successfully take and complete:
Required: 21 credit hours
Stat 5015 Regression Analysis
Stat 5025 Design and Analysis of Experiments
Stat 5155 Fundamentals of Sampling
Stat 5255 Mathematical Theory of Probability
Stat 5265 Introduction to the Theory of Statistics
Stat 5380 Bayesian Data Analysis
Stat 5470 Data Analysis
Electives: a minimum of 15 credit hours in other acceptable graduate courses. Acceptable courses include statistics courses numbered 5000 or higher, excepting 5000, 5050, 5060, 5070, 5080 and 5185
Total: 36 Credit Hours
Graduation Requirements: (1) successful completion of coursework and (2) a data
analysis project (Plan B paper)
Profile
The
Master's Program in Statistics will give the student a solid background
in statistical theory and in statistical methods, and in technical reading and
writing skills. This program represents the first two years of doctoral
coursework necessary for entrance into a Ph.D. program in statistics. Graduates
will have the necessary background to further pursue the Ph.D. degree, to work
in industrial or research organizations, or to teach in community college level
institutions or as academic professionals in 4-college and universities.
Coursework
In addition to the general requirements of the
Graduate School all candidates for the MS (Plan B Option 2) degree must
successfully take and complete:
Required: 17 credit hours
Stat 5210 Statistical Methods 1
Stat 5220 Statistical Methods 2
Stat 5510 Distribution Theory
Stat 5520 Inference I
Stat 5620 Theory of Linear Models
One course from the following: 3-4 credit hours
Stat 5025 Design and Analysis of Experiments
Stat 5230 Statistical Methods 3
Electives: a minimum of 15 credit hours in other acceptable graduate
courses. Acceptable courses include statistics courses numbered 5000 or
higher, excepting 5000, 5050, 5060, 5070, 5080 and 5185.
Total: 36 Credit Hours
Graduation Requirements: (1) successful completion of coursework and (2) a
passing grade on a two-day qualifying examination. (Plan B paper)
