Graduate Programs

Bioinformatics Data Science: Ph.D.

Bioinformatics data science is an emerging and rapidly expanding field where biological, computational and quantitative disciplines converge. The field encompasses the development and application of computational tools and techniques for the collection, analysis, management and visualization of biological data, as well as modeling and simulation methods for the study of biological systems. Fundamental to modern-day biological studies and key to the basic understanding of complex biological systems, bioinformatics data science is making an impact upon the science and technology of fields ranging from agricultural and environmental sciences to pharmaceutical and medical sciences. The research requires close collaboration among multi-disciplinary teams of researchers in quantitative and life sciences and their interfaces.

The Ph.D. in bioinformatics data science is offered as a University-wide interdisciplinary graduate program with scientific curriculum that builds upon the research and educational strength from departments across the colleges of Engineering (COE), Arts and Sciences (CAS), Agriculture and Natural Resources (CANR) and Earth, Ocean and Environment (CEOE). The Center for Bioinformatics and Computational Biology (CBCB) administers the Ph.D. program in bioinformatics data science and coordinates with the individual departments involved in the program.

The Ph.D. in bioinformatics data science trains the next generation of researchers and professionals to play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines through their coursework and research. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system.