The focus of the M.S. in Statistics Program is the development of sophisticated statistical models and their implementation on high performance computing platforms. The curriculum features a balance of application, computation and theory with particular emphasis in the areas of biostatistics/informatics and analytics. Areas of faculty and graduate student research activity include bioinformatics, biostatistics, business and financial analytics, forensic statistics and general statistics. The program is particularly effective at preparing graduates to work in business, industry or government as well as preparing students to continue on to the CSS Ph.D. or other Ph.D. program.

## Assistantships are available on a competitive basis

Many graduate research and teaching assistantships are available, though applicants should note that admission to the program does not guarantee that an assistantship or fellowship will be awarded.

## M.S. in Statistics admission requirements

Students applying to the M.S. in Statistics program should have taken undergraduate courses equivalent to the following SDSU courses. See the Online Catalog for course descriptions. Students lacking one or more of these courses may be admitted conditionally.

- MATH 225 Calculus III
- MATH 315 Linear Algebra
- STAT 381 Introduction to Probability and Statistics (calculus-based)

Preference will be given to applicants who have taken the following courses:

- STAT 482 Probability and Statistics II
- MATH 425 Real Analysis I

Applications for the Fall semester should be received by February 15 to be given full consideration. Due to the structure of the first year of coursework, we typically will not accept students starting in the Spring semester.

## More information:

- Apply Online
- Assistantships
- Course Schedule and Descriptions
- Faculty and Student Research
- Current Master's Student handbook can be found in the self-enroll D2L page: "SDSU Graduate Mathematics and Statistics Program"