Program Overview

M.S. in Applied Statistics Program

The M.S. in Applied Statistics program is designed to provide students with a comprehensive education in statistical methods and techniques. The program requires a total of 60 credits, including core courses, electives, and a master's thesis.

Core Courses

The core courses for the M.S. in Applied Statistics program are:

• MATH 644: Regression Analysis Methods (3 credits)
• MATH 659: Survival Analysis (3 credits)
• MATH 661: Applied Statistics (3 credits)
• MATH 662: Probability Distributions (3 credits)
• MATH 664: Methods for Statistical Consulting (3 credits)
• MATH 665: Statistical Inference (3 credits)
• MATH 699: Design and Analysis of Experiments (3 credits)

Master's Thesis

The master's thesis is a required component of the program, and students must complete either:

• MATH 701B: Master's Thesis (6 credits)
• MATH 701C: Master's Thesis

Electives

Students must select one elective course from the following list, or any other related course with the approval of the graduate advisor:

• MATH 604: Mathematical Finance (3 credits)
• MATH 605: Stochastic Calculus (3 credits)
• MATH 611: Numerical Methods for Computation (3 credits)
• MATH 630: Linear Algebra and Applications (3 credits)
• MATH 654: Clinical Trials Design and Analysis (3 credits)
• MATH 660: Introduction to Statistical Computing with SAS and R (3 credits)
• MATH 691: Stochastic Processes with Applications (3 credits)
• MATH 698: Sampling Theory (3 credits)
• MATH 763: Generalized Linear Models (3 credits)
• MATH 768: Probability Theory (3 credits)

Program Requirements