Master of Science in Statistics
The Master of Science (MS) in Statistics provides advanced training in probability theory and statistical methodology. The program emphasizes the mathematical foundations of statistics while preparing students to apply probabilistic and statistical techniques to complex data and quantitative problems.
Students combine graduate coursework with advanced study in probability, stochastic processes and statistical modeling.
Areas of Study
Students in the program may pursue study across several areas of statistics, including probability theory, stochastic processes, statistical inference, statistical modeling and data analysis. Coursework also emphasizes mathematical statistics, providing the theoretical foundations needed for advanced work in statistics and data science.
Together, these topics prepare students to analyze complex datasets and develop statistical methods for scientific and applied research.
Program Structure
The MS in Statistics typically requires 30 credit hours of graduate coursework in probability, statistics and related mathematical areas. Students complete advanced courses in probability theory and statistical inference while selecting electives that allow them to develop expertise in applied statistics or related quantitative fields.
Depending on the program option, students may complete a comprehensive examination or a research project as a culminating requirement. Throughout the program, students work with faculty advisors to design a plan of study aligned with their academic interests and professional goals.
Professional Preparation
Graduates of the program develop expertise in probabilistic modeling and statistical reasoning. These skills are widely used in data science, finance, engineering, government research and scientific analysis.
The program also provides strong preparation for students pursuing doctoral study in statistics, mathematics or related quantitative disciplines.
