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PhD Computational Biology at University of Pittsburgh

University of Pittsburgh, United States

Programme overview

A joint Carnegie Mellon-University of Pittsburgh PhD providing interdisciplinary training in quantitative and computational approaches to scientific questions at the interface of life, physical, engineering and computer sciences. Fields include cellular and systems modeling, computational structural biology, bioimage informatics and computational genomics.

Faculty: Joint programme with Carnegie Mellon University  |  Department: Computational Biology  |  Intake: Fall  |  Location: Pittsburgh, PA, United States

What you will study

Core courses in machine learning or statistics and mathematics, critical thinking in computational biology, advanced algorithms, cellular/systems/molecular modeling, ethics, lab methods and a writing workshop, three electives, lab rotations, a thesis proposal (recommended in year three) and dissertation.

Career pathways

Careers in academia, industry and beyond.

Official programme page

Application information

Entry requirements

Fall 2027 entry; final deadline 9 December 2026 via the CMU School of Computer Science online application. GRE not required. Complete applications need recommendation letters, transcripts, resume, personal statement and TOEFL score reports if required. Admission is offered through either CMU or Pitt.

Domestic applicants: USD 27,412 a year (2026-27). Pennsylvania-resident graduate tuition, Dietrich School of Arts and Sciences, full-time two terms (fall and spring). Tuition only; mandatory fees and other expenses excluded. Source

International applicants: USD 49,272 a year (2026-27). Out-of-state (non-PA resident) graduate tuition, Dietrich School of Arts and Sciences, full-time two terms (fall and spring). Tuition only; mandatory fees and other expenses excluded. Source

Intake: Fall

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