Admission to the Program

In addition to meeting the minimum university requirements for graduate study, applicants will be expected to have an adequate background in the mathematical sciences. Graduate Record Examination (GRE) scores are required. Students entering the M.S. program without the appropriate background will be expected to take certain undergraduate courses as prerequisite work.  

Degree Requirements

• 30–33 credit hours of approved graduate work 
• Tool of research: proficiency in French, German, Russian, an approved computer language, or an approved analytical skill such as numerical, complex, or real analysis 
• Written comprehensive examination  

Thesis option: Mathematical Statistics 

Nonthesis option: Applied Statistics: Statistical Theory and Applications  

• Research requirement: 

Thesis option: STAT-797 Master’s Thesis Seminar in Statistics (3–6) requiring a formal written thesis with an oral defense 

Nonthesis option: STAT-691 Internship (3) and STAT-798 Statistical Research and Consulting (3) with required oral and written presentation of the research work 

All course work for the thesis or nonthesis option must be completed with grades of B or better. 

Course Requirements

• STAT-515 Regression (3) 
• STAT-524 Data Analysis (3) 
• STAT-525 Statistical Software (3) 
• STAT-530 Mathematical Statistics I (3) 
• STAT-531 Mathematical Statistics II (3) 
• STAT-616 Generalized Linear Models (3) 
• STAT-691 Internship in Statistics (3) 

Thesis option

• STAT-797 Master’s Thesis Seminar (3-6) 
• Two additional graduate courses in mathematics or statistical theory 

Nonthesis option

• STAT-510 Survey Sampling (3) 
• STAT-798 Statistical Research and Consulting (1) (taken at least three times) 
• Two additional graduate courses in statistical theory, methods, and applications, including approved related courses offered by other departments