MA in Statistics
The Master of Arts in Statistics degree program provides advanced training in the fundamental theory of statistics and probability and in their applications to a broad range of disciplines. This program prepares students for positions in education, government agencies, industry, or nonprofit institutions, or for further graduate study leading to a PhD degree. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline.
Students graduating with an MA in Statistics are expected to:
- Demonstrate an understanding of probability theory, mathematical statistics, and stochastic processes.
- Demonstrate the ability to apply linear and generalized linear models to data and interpret the results.
- Demonstrate knowledge over a range of topics selected from probability theory, statistical methods, or computation.
Eight semester courses (32 credits) approved for graduate study are required. The following core courses are required:
- CAS MA 575 Linear Models
- CAS MA 576 Generalized Linear Models
- CAS MA 581 Probability
- CAS MA 582 Mathematical Statistics
- CAS MA 583 Introduction to Stochastic Processes
The remaining three courses should constitute a coherent program relevant to the objectives of the student. Ordinarily, all courses are in probability and statistics or mathematics. However, students may petition the departmental graduate committee to use courses from other departments to partially satisfy this requirement.
There is no foreign language requirement for this degree.
This examination, which is offered in April of each year, serves as a master’s degree examination. The comprehensive exam is typically taken after completing the required core courses. Students judged to be inadequately prepared for the first examination are allowed to take the examination again. More detailed information is provided upon admission.