Students in the Master of Science in Applied Statistics degree program learn the basis for the application of modern statistical methods. In addition to the basic theoretical foundations, areas of methodology include regression analysis, design of experiments, multivariate analysis, quality control, survival analysis, time series, sample surveys, categorical, and nonparametric methodology.
All applied courses use and emphasize the importance of modern statistical computing software.
You’ll learn to use a broad base of practical techniques and applications from a wide variety of fields. At the same time the student's background in theory is developed so the learning process will continue in any professional environment pursued after graduation.
You’ll graduate with broad training in statistical methodology that is suitable for applications in industry, medicine, business and government.
Understanding the requirements
Students are required to complete 30 credit hours. You have the option of completing a thesis.
Option 1: Non-thesis
Core required courses (15 credits)
- Applied Regression Analysis, STAT-I 512
- Design of Experiments, STAT-I 514
- Probability Theory, STAT-I 519
- Applied Multivariate Analysis, STAT-I 524
- Mathematical Statistics, STAT-I 528
Additional statistics courses (9 credits)
Additional related coursework in statistics, mathematics, or related areas (6 credits)
Option 2: Thesis
Core required courses (15 credits)
- Applied Regression Analysis, STAT-I 512
- Design of Experiments, STAT-I 514
- Probability Theory, STAT-I 519
- Applied Multivariate Analysis, STAT-I 524
- Mathematical Statistics, STAT-I 528
Additional statistics courses (6 credits)
M.S. Thesis STAT-I 698 (6 credits)
Additional related coursework in statistics, mathematics, or related areas (3 credits)