Applied Statistics, M.S.

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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.

Plan B (Option 1)

Coursework

In addition to the general requirements of the university all candidates for the MS (Plan B - Option 1) degree must successfully take and complete:

Required: 15 Credit Hours

STAT 5210 - Advanced Regression Credits: 3
STAT 5220 - Advanced Design Credits: 3
STAT 5470 - Data Analysis Credits: 3
STAT 5380 - Bayesian Data Analysis Credits: 3
STAT 53XX - Computational Methods

Electives

a minimum of 15 credit hours in other acceptable graduate courses. Acceptable courses include statistics courses numbered 5000 or higher, excepting

STAT 5000
STAT 5050 - Statistical Methods for the Biological Science Credits: 3
STAT 5060
STAT 5070 - Statistical Methods for the Social Sciences Credits: 3
STAT 5080 - Statistical Methods for the Agricultural and Natural Resource Sciences Credits: 3
STAT 5185 - Analysis of Data Credits: 3

No More Than 6 Credits Can Come From

STAT 5255 - Mathematical Theory of Probability Credits: 3
STAT 5265 - Introduction to the Theory of Statistics Credits: 3
STAT 5155 - Fundamentals of Sampling Credits: 3
STAT 5025 - Design and Analysis of Experiments I Credits: 3

Total Credits: 30 Hours

Graduation Requirements: (1) successful completion of coursework and (2) a data analysis project (Plan B paper).