Prerequisites

Basic minimum preparation for the program should include one semester of linear algebra with an in-depth coverage of relevant topics including matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, canonical forms and their applications, and advanced calculus. Experience in theoretical or applied probability and statistics is advantageous.  Familiarity with computer programming, including some proficiency in SAS, R or Python is also helpful.  Any lack in the prerequisites should be made up before applying.     

Due to the large number of applications received, the MA in Statistics staff does not answer inquiries about specific applications nor give advice or direction to applicants before they are admitted. Although we appreciate interest in the program, please note that emails sent to the department expressing interest have no bearing on the outcome of your application being reviewed. Your candidacy is decided upon by your application materials. Any specific interest and rationale should be conveyed in your personal statement within the application. 

Letters of Recommendation

Three letters of recommendation are required, preferably from academic sources.  A recommendation from a supervisor in a related field can be substituted if appropriate. 

Exam Scores and GPA

The admissions committee looks at the overall application, not just one particular area such as GPA or GRE scores.  We do not publish average scores of any kind.  Nor do we provide details on the numbers or applicants of our students. 

The GRE exam is required and cannot be substituted with the GMAT.  There is no minimum score. 

For information about the TOEFL/IELTS requirement for international students, see Information for International Students.

Statement of Purpose

The statement of purpose should consist of approximately one thousand words.  Describe your background, your past work and studies in statistics, your plans for graduate study, and your professional goals.