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During the course of their Ph.D. studies, students will develop and apply novel computational, mathematical and statistical techniques to problems in the life sciences.

The Ph.D. program in Computational Biology encompasses three individual training programs with a core of common requirements and specific requirements from individual departments of Computer Science, Molecular, Cell Biology & Biochemistry (MCB), and Ecology and Evolutionary Biology (EEB). Applicants should state a preference for one of these three programs. In addition, students interested in the intersection of Applied Mathematics and Computational Biology are encouraged to apply directly to the Applied Mathematics Ph.D. program, and also to contact relevant CCMB faculty members.

Our Ph.D. program assumes the following prerequisites: mathematics through intermediate calculus, linear algebra and discrete mathematics, demonstrated programming skill, and at least one undergraduate course in chemistry and in molecular biology. Exceptional strengths in one area may compensate for limited background in other areas, but some proficiency across the disciplines must be evident for admission.

Additional Resources

CCMB computing resources include a set of multiprocessor computer clusters and data storage servers with 392 processors. The CCMB Cluster is the largest dedicated computing system on campus for computational biology and bioinformatics applications.

Admission Requirements

  • In the personal statement, please state the preferred degree or track you intend to pursue.
  • GRE General: Not required
  • GRE Subject: Not required

Application Deadline: January 3

Ph.D. Completion Requirements

Six graduate–level courses, two eight–week laboratory rotations, preliminary research presentation, dissertation, oral defense

Center for Computational Molecular Biology
Brown University
Box 1903
164 Angell Street, 3rd floor
[email protected]

Visit the Center for Computational Molecular Biology


Center Director: Sohini Ramachandran

Directors of Graduate Studies: Daniel Weinreich