Statistics (M.S.)

The Department of Mathematical Sciences offers a Master of Science degree in Statistics. The MS in Statistics has been developed for students interested in becoming practitioners of statistics, who are trained in statistical methodology. The program emphasizes the foundations and concepts of statistics as well as the new and developing areas of statistics. Though the applications of statistical sciences are emphasized, the theoretical foundations are presented as well. Specifically, students are prepared for professional work in the design and analysis of statistical experiments, development and analysis of statistical models, data analytic techniques and the associated computational methods, and statistical computing. The curriculum is designed to allow students to develop the skills needed to achieve positions in the many pharmaceutical, chemical, health services, public service and consumer product corporations and other industries that require significant research and development efforts as well as data analysis. Through the accessibility of computers and the availability of powerful statistical software to analyze huge data sets, the use of statistical methods has now become quite widespread in many industries. Students and faculty in the Department have access to state-of-the-art interactive computing environments for data analysis and data graphics.

The MS in Statistics is of interest to undergraduate mathematics majors looking for challenging career paths that apply their problem solving skills to important social, health, medical and business issues; undergraduate statistics majors who feel the need to expand their knowledge; people currently working as statistical assistants; people trained in biology, chemistry, physics or medicine who are involved in the analysis of experiments; and computer scientists who are involved in data analysis.

The Statistical Consulting Program, housed in the Department of Mathematical Sciences, offers the campus community and off-campus clients statistical advice in the design of experiments and studies as well as the analysis and interpretation of the results. This program also offers MS students the opportunity to obtain applied experience by becoming involved in the data collection, analysis and interpretation of ongoing projects. In addition, our proximity to the pharmaceutical industry permits students the exciting option of an applied industrial experience, working under the supervision of a practicing statistician.

Program Requirements

Statistics Core
STAT 541Applied Statistics 13
STAT 542Statistical Theory I3
STAT 543Statistical Theory II3
STAT 544Statistical Computing3
STAT 547Design and Analysis of Experiments3
STAT 548Applied Regression Analysis3
Statistics Electives
Select one of the following:3
Biostatistics I
Multivariate Analysis
Advanced Statistical Methods
Select 6-9 credits from the following (6 credits for thesis option):6-9
Practicum in Statistics I
Non-Parametric Statistics
Sampling Techniques
Biostatistics I
Biostatistics II
Introduction to Stochastic Processes
Advanced Topics in Statistics
Multivariate Analysis
Practicum in Statistics II
Advanced Statistical Methods
Independent Study in Statistics
Master's Thesis
Master's Thesis Extension
Computer Science, Math and/or Statistics Electives
Select one of the following:3
Introduction to Artificial Intelligence
Computer Simulation of Discrete Systems
Structured System Design and Analysis
Software Engineering
Database Systems
Computer Algorithms and Analysis
Advanced Database Systems
Advanced Computer Algorithms and Analysis
Probability
Numerical Analysis
Applied Mathematics: Continuous
Applied Mathematics: Discrete
Combinatorial Mathematics
Operations Research
Statistical Theory I
Statistical Theory II
Statistical Computing
Practicum in Statistics I
Non-Parametric Statistics
Design and Analysis of Experiments
Applied Regression Analysis
Sampling Techniques
Intermediate Statistics Methods
Statistical Data Mining I
Statistical Data Mining II
Statistical Consulting
Fundamentals of Data Analysis
Topics in Statistics
Research Methods in Statistical Science
Biostatistics I
Biostatistics II
Introduction to Stochastic Processes
Advanced Topics in Statistics
Multivariate Analysis
Practicum in Statistics II
Advanced Statistical Methods
Independent Study in Statistics
Culminating Experience
Select one of the following options:0-3
Thesis Option
Master's Thesis
Submit the completed Thesis original and one copy to the Graduate Office. See Thesis Guidelines for details.
Comprehensive Examination
In the term that you will sit for exam, register for the section which matches your major & advisor. Successfully pass exam.
GRAD CMPComprehensive Examination0
Total Credits33
1

If equivalent of STAT 541 has been taken previously, see department for substitution.