Statistics, Ph.D.

Program Overview

The Ph.D. in Experimental Statistics program equips students with advanced statistical methods, inference techniques, and research skills. Through coursework, qualifying exams, and a publishable dissertation, students develop the expertise to conduct original research and contribute to the field of statistics. The program requires a minimum of 54 semester hours of coursework, one year of residency, and a teaching requirement.

Program Outline

The Doctor of Philosophy in Experimental Statistics (Ph.D. in Experimental Statistics) is designed for students who hold a Bachelor of Science (BS) or Master of Science (MS) degree in statistics-related fields.

• A deep understanding of advanced statistical methods.
• Proficiency in statistical inference techniques.
• The ability to conduct original research in statistics.
• The skills to write a publishable quality dissertation.
• The knowledge to defend their dissertation research.

Assessment:

• Qualifying Examination: Students must pass a qualifying examination to become a doctoral candidate.
• General Examination: Students are required to pass a general examination during their Ph.D. program.
• Dissertation: Students must conduct original research in statistics, write a dissertation of publishable quality, and defend their dissertation in a final examination.

Other:

• Coursework: Students must complete a minimum of 54 semester hours of approved coursework beyond the BS, including a 12-hour core curriculum and a minimum of 12 credits of coursework at the 7000-level within the department.
• Residency: One year of residency is required within the Ph.D. program after filing a program of study with the Graduate School.
• Teaching Requirement: Students must teach for a minimum of two semesters during their program.
Students without adequate mathematical training may be admitted, but they will need to take appropriate background courses (which do not count for degree credit).