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PhD Statistics (core and joint PhD programmes) at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

Statistics PhD combining theoretical rigor with applied work, plus four joint PhDs: Statistics and Machine Learning, Public Policy, Neural Computation, and Engineering and Public Policy.

Faculty: Dietrich College of Humanities and Social Sciences  |  Department: Department of Statistics & Data Science  |  Duration: Most students finish in 4-5 years  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Coursework and hands-on research; from the second semester students begin a year-long Advanced Data Analysis Project with faculty.

Official programme page

Application information

Entry requirements

Statistics PhD (applications open October 1, 2026; all materials by December 1): GRE optional for the Statistics PhD and required for joint programs. Unofficial transcripts; statement of purpose of two pages maximum; three recommendation letters. English (non-native speakers without an English-instruction degree): TOEFL iBT 84 (sections 18 speaking, 22 reading, listening, writing), IELTS 7.5 or Duolingo 125. Application fee $90 plus $10 per joint program (waiver on request).

USD 53,000 a year (2026-27). Tuition stated for the Dietrich College of Humanities & Social Sciences graduate band (2026-27); the page does not label the period beyond the academic-year heading. Excludes fees ($1,040), housing and health insurance. Source

Duration: Most students finish in 4-5 years

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