PhD Computational Biology (joint CMU-Pitt, CPCB) at Carnegie Mellon University

The joint Carnegie Mellon-University of Pittsburgh PhD Program in Computational Biology (CPCB) provides interdisciplinary training in quantitative and computational approaches to scientific questions at the interface of the life, physical, engineering and computer sciences. Trainees are taught and mentored by about 57 core and 57 affiliated faculty across two institutions. All enrolled students receive full financial support covering tuition, stipend and health insurance.

Faculty: Kenneth C. Griffin School of Computer Science  |  Department: Ray and Stephanie Lane Computational Biology Department (joint with the University of Pittsburgh)  |  Intake: Fall (August); one admission cycle per year  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Training areas are cellular and systems modeling, computational structural biology, bioimage informatics and computational genomics. Year one includes Machine Learning or Essential Statistics and Mathematics for Scientists, Critical Thinking in Computational Biology, Advanced Algorithms for Biological Problems, Cellular, Systems and Molecular Modeling, and Ethics in the Practice of Computational Biology; students also take three electives, lab methods courses, a seminar series and complete a thesis proposal by the end of the seventh semester.

Career pathways

Graduates pursue careers in academia, industry and beyond.

Official programme page