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Graduate Programs

The Graduate School at Cornell University is formally organized into academic fields of study.

Faculty in Computational Biology usually advise graduate students in the following graduate fields:

Computational Biology PhD Program

Computational Biology (CB) at Cornell is an interdisciplinary program that links the computational and mathematical sciences with the life sciences.

Learn more about the program
two students look at computer monitor and one points at it
Ph.D. students, Manisha Munasinghe and Ian Caldas, work in the lab of Andrew Clark, professor in the Department of Computational Biology. Credit: Allison Usavage

Genetics, Genomics and Development

The Graduate Field of Genetics, Genomics and Development (GGD) at Cornell University engages in cutting-edge training to study mechanisms that underlie inheritance, genome organization, development, disease, population structure, and evolution.

Genetics, Genomics and Development

Statistics and Data Science

Specializations in the department are vast and include statistical science, social statistics, and biometry and range from computational statistics and machine learning to statistical methods for astrophysics, genomics, medicine, legal studies, and much more.

Statistics and Data Science

Other related fields

Faculty additionally have associations with the following related fields:

Graduate School fields of study

Apply

An application for admission to the Graduate School may be made either to the Field of Computational Biology. Computational Biology students will be interested in the many and varied courses in genetics, genomics, computer science, mathematics, statistics, and probability at Cornell. Students, no matter what field they are in, can take any of these courses (and any other courses in the University) that they and their supervising faculty decide on.