Program Overview

Ph.D. in Statistics Overview

The demand for data expertise is accelerating, and a Ph.D. in statistics from Central Michigan University (CMU) puts students at the forefront of this momentum. This program trains students in analytics, computing, and actuarial science, preparing them for roles in research, teaching, healthcare, finance, tech, and more.

Program Details

• Degree Type: Doctorate
• Format: On Campus
• Credit Hours: 75 Credit Hours

Why Pursue a Ph.D. in Statistics?

Students build a strong foundation in statistical theory, data analytics, computing, and applied methodologies—skills used in various fields, including healthcare, finance, education, and public policy. The program includes an internship tailored to the student's goals, either a teaching internship for those pursuing academic careers or a professional internship for those entering industry or research-driven roles.

Program Highlights

• Customize Your Experience: Choose a teaching or professional internship based on your goals.
• Complete a Dissertation: Conduct research with guidance from experienced faculty.
• Get Full Funding: Most students receive a tuition waiver and stipend through assistantships, renewable for up to six years.
• Transfer Credits: Entering with a relevant master's degree, students can bring up to 30 credit hours with them.

Careers and Outcomes

A doctorate in statistics and analytics prepares students for careers in research, university teaching, and applied roles in fields like healthcare, tech, finance, and government. Projected salaries for careers include:

• Statistician: $104,350
• Postsecondary Teacher: $83,980
• Data Scientist: $112,590
• Research Scientist: $100,590

Dissertation Support

The Statistical Consulting Center offers one-on-one support for dissertation design, data analysis, and more, ensuring students do not have to navigate their dissertation alone.

Admission

• Admission: Rolling
• Priority Consideration for Scholarships: December 1
• Start Dates:
  • Main Campus:
    • Spring 2026: January 12
    • Fall 2026: August 21

Related Programs

• Applied Statistics and Analytics
• Computer Science
• Mathematics

This program is designed to meet the growing demand for data expertise, providing students with a comprehensive education in statistics and analytics, and preparing them for successful careers in various fields.