Statistics, Ph.D.

Program Overview

The Statistics Ph.D. program at this university cultivates expertise in statistical theory and methods, preparing students for research and careers in diverse fields requiring advanced statistical analysis. The program includes coursework, comprehensive examinations, a qualifying oral exam, and a doctoral dissertation. Graduates are prepared for careers in academia, research institutions, government agencies, and private industries requiring advanced statistical expertise.

Program Outline

Program:

Statistics, Ph.D.

Degree Overview:

• Overview: This program cultivates expertise in statistical theory and methods, preparing students for research and careers in diverse fields requiring advanced statistical analysis.
• Objectives:
• Develop a deep understanding of statistical theory and methods.
• Acquire expertise in applying statistical techniques to real-world problems.
• Conduct independent research and contribute to the advancement of statistical knowledge.
• Prepare for successful careers in academia, industry, or government.

Outline:

• The program consists of coursework, comprehensive examinations, a qualifying oral exam, and a doctoral dissertation.
• Coursework:
• Students complete a minimum of 30 credits of coursework, including core courses in statistical theory and methods, probability and mathematical statistics, data analysis, and statistical computing.
• Additional courses are selected based on student interests and research focus.
• Comprehensive Examinations:
• Students must pass two written comprehensive exams covering core statistical topics.
• Up to three attempts are allowed to pass these exams.
• Qualifying Oral Exam:
• Based on the student's progress in their doctoral work, they must pass an oral examination conducted by a faculty committee.
• This involves a presentation and defense of the proposed research work.
• Doctoral Dissertation:
• The core of the Ph.D. program, the dissertation involves original research contributing to the field of statistics.
• A final defense of the dissertation is required before graduation.
• Scientific Minor (Optional):
• Available for students in the biostatistics track.
• Allows students to gain expertise in a health-related field through research and coursework.

Assessment:

• Student progress is assessed through coursework performance, written comprehensive exams, the qualifying oral exam, dissertation research, and the final dissertation defense.

Teaching:

• The program utilizes diverse teaching methods including lectures, seminars, discussions, and independent research supervision.
• The faculty consists of experts in various statistical fields, ensuring a high-quality learning experience.

Careers:

• Graduates are prepared for careers in academia, research institutions, government agencies, and private industries requiring advanced statistical expertise.

Other:

• Residency requirements are determined by the University at the time of admission.