Best Computational Biology graduate PHD programs - Updated 2020

The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences The Center for Computational Molecular Biology offers a Ph.D. in Computational Biology through either a Computer Science or BioMed focus to train the next generation of scientists to perform cutting-edge research in the multidisciplinary field of computational biology. Genomic databases, protein databanks, MRI images of the human brain, and remote sensing data on landscapes contain unprecedented amounts of detailed information that are transforming almost all of biology. A key goal in training is to develop the ability to relate biological processes to computational models. The mission of the Graduate Program in Computational Biology and Bioinformatics is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences.
Ranked as: #8 in Best National University
Tuition: $53,540
State: NC
Acceptance: 8.91%
The mission of the Graduate Program in Computational Biology and Bioinformatics is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences. The program provides rigorous training in quantitative approaches from computer science, statistics, mathematics, physics, and engineering that enable its students to successfully address contemporary challenges across biology and medicine. Computational Biology and Bioinformatics: PhD Admissions and Enrollment Statistics.
Ranked as: #15 in Best National University
Tuition: $29,500
State: NY
Acceptance: 10.61%
Genomic databases, protein databanks, MRI images of the human brain, and remote sensing data on landscapes contain unprecedented amounts of detailed information that are transforming almost all of biology. The computational biologist must have skills in mathematics and computation as well as in biology. A key goal in training is to develop the ability to relate biological processes to computational models.
Ranked as: #16 in Best National University
Tuition: $54,320
State: RI
Acceptance: 7.67%
The Center for Computational Molecular Biology offers a Ph.D. in Computational Biology through either a Computer Science or BioMed focus to train the next generation of scientists to perform cutting-edge research in the multidisciplinary field of computational biology.
Ranked as: #20 in Best National University
Tuition: $26,544
State: CA
Acceptance: 14.84%
The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields. The Computational Biology Graduate Group facilitates student immersion into UC Berkeley vibrant computational biology research community. The time to degree of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences
Ranked as: #21 in Best National University
Tuition: $49,560
State: DC
Acceptance: 14.52%
Students will not only acquire powerful modern statistical methods and computational tools, but also will be educated in cognate areas of biological and health sciences such as genetics, epidemiology, and biology.
Ranked as: #25 in Best National University
Tuition: $43,815
State: PA
Acceptance: 17.12%
The Joint CMU-Pitt PhD Program in Computational Biology is a joint effort between the Computational Biology Department at Carnegie Mellon and the Department of Computational Biology at the University of Pittsburgh. By leveraging the great strengths in computation and clinical research of the two universities, CPCB graduates obtain an unparalleled education at the frontier of computational biology. Despite being a relatively young program, over fifty graduates have already begun successful careers, whether in academic research or in industry jobs.
Ranked as: #29 in Best National University
Tuition: $46,678
State: MI
Acceptance: 22.83%
The Program in Biomedical Sciences at the University of Michigan is an interdisciplinary gateway program that coordinates admissions and the first year of Ph.D. studies for 14 department programs, including Bioinformatics.
Ranked as: #35 in Best National University
Tuition: $28,568
State: GA
Acceptance: 21.53%
Successful candidates must be admitted by one of the participating units within the College of Engineering, College of Science, or College of Computing and designate the Bioinformatics Program as the degree program of application. Answers to related to graduate admission at Georgia Tech may be found on this page.
Ranked as: #38 in Best National University
Tuition: $45,168
State: OH
Acceptance: 29.25%
Systems Biology Bioinformatics Programs The Systems Biology and Bioinformatics program differs from current CWRU programs in the comprehensive requirement for an understanding of biological systems, bioinformatics, and quantitative analysis modeling. The program includes a minimal set of required courses including SYBB 501 Biomedical Informatics and Systems Biology Journal Club and a course in the Responsible Conduct of research Additional required courses for the Translational Bioinformatics and Molecular and Computational Biology tracks are SYBB 459 Bioinformatics for Systems Biology and SYBB 555 Current Proteomics.
Ranked as: #42 in Best National University
Tuition: $52,816
State: MA
Acceptance: 22.09%
In order to be admitted, students need at least a bachelor’s degree in a field related to bioinformatics, preferably one with a strong component in mathematics and computer science. Demonstrate mastery of the core concepts of Bioinformatics: These include advanced methods in computational biology, the chemical principles that underlie biochemistry, molecular biology and genomics, the design and implementation of relational databases, fundamental methods in probability and statistics, and the construction of predictive mathematical models of biological systems.

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