Program of Study
Yale’s interdepartmental Ph.D. degree program in Computational Biology and Bioinformatics is intended to prepare students for careers in academic research, education, and biotechnology. With the help of a faculty advisory committee, each student plans a program that includes courses, seminars, laboratory rotations, and independent reading. Students are expected to achieve competency in three core areas: 1) computational biology and bioinformatics; 2) biological sciences, with a particular focus on genomics and related areas; and 3) informatics, with a particular focus on computer science, statistics, and applied mathematics. The courses taken to satisfy the core areas of competency may vary considerably, but a typical program will include nine courses and must include 3 of the following courses: Biomedical Data Science: Mining and Modeling, Dynamical Systems Biology or Clinical and Translational Informatics. Completion of the core curriculum will usually take 3 to 4 semesters, depending in part on the prior training of the student. The training environment includes numerous seminars and speakers, journal clubs, and special-topic seminar courses. The total time to complete the Ph.D. program should be approximately five years.