The university requires that students admitted to the Graduate School for degree status have earned a bachelor's degree with at least a 3.0 GPA in the last 60 credit hours of baccalaureate study. A student with a GPA below 3.0 may be offered provisional admission if sufficient evidence is present to suggest the student has the ability to pursue graduate work. The prospective student must submit two official transcripts from all institutions attended. At present, the Graduate Record Examination (GRE) is not required for the M.S. in Statistical Science, but it may serve to bolster the application if the student's GPA is weak. The GRE is required for the Ph.D. programs.
International students whose native language is not English must submit evidence
of English proficiency. This may be done by completing a bachelor's or master's
degree in an institution where English is the language of instruction or by
adequate scores on the Test of English as a Foreign Language (TOEFL). A minimum
TOEFL score of 575 is required for admission. Students who wish to apply as
graduate research or teaching assistants must have a minimum score of 600.
Admission Requirements for the M.S. in Statistical Science
In addition to satisfying the general admission requirements for graduate study, all applicants to the M.S. program in Statistical Science must hold a bachelor's degree from an accredited institution that demonstrates mastery in multivariate calculus, matrix algebra, probability, and basic computer skills. These requirements are met by completing the following GMU courses or their equivalents with a minimum 3.0 GPA: MATH 113, 114, 213, 203 or 322; STAT 344 or MATH 351, and either a course in computer science or documentation of computer skills learned from other courses or at work.
Students who are exceptionally well qualified but have minor deficiencies may be admitted provisionally subject to completion of the appropriate undergraduate course work. Courses taken to remove the deficiencies do not count towards the degree. Students who just need a review of this material should take STAT 530: Mathematical Methods for Statistics and Engineering.
Admission requirements for Ph.D. in Information Technology
Admission requirements for Ph.D. in Computational Statistics
Return to Applied and Engineering
Statistics Home Page Return to Graduate Study in Statistics
Home Page