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Earning a Ph.D. in Statistics requires students to successfully complete several key milestones: passing the qualifying examination, clearing the comprehensive exam, and composing and defending a doctoral dissertation. Doctoral candidates generally complete a minimum of 30 credits in statistics courses at the 500-level or above. With approval from their Ph.D. Graduate Committee, students may incorporate relevant graduate-level coursework from other departments into their Program of Study. Depending on their specialization and academic background, candidates might need to undertake additional statistics or mathematics coursework. For instance, Ph.D. aspirants should have fulfilled all Master's degree requirements in statistics and may need to complete any missing foundational courses.
A bachelor's degree (or higher) or the equivalent from an accredited, government-recognized university. These degrees are generally four-year-long programs.
B average or higher from your undergraduate study (3.0/4.0 GPA, or equivalent).
English Proficiency for Graduate Applicants:
Internet-based TOEFL Test (iBT): 80
Paper-based TOEFL Test (PBT): 550
IELTS: 6.5
PTE Academic: 54
Application Deadlines Fall Semester: May 15; Spring Semester: October 1; Summer Session: February 1.