The U-M Bioinformatics Graduate Program (BGP) is the academic component of the Department of Computational Medicine and Bioinformatics (DCM&B). The BGP was established as an interdepartmental program in 1998 at the University of Michigan, and enrolled its first class in 2001.
This Program is highly interdisciplinary involving many different schools and departments across the U-M campus. There are over 100 faculty members affiliated with the program. In addition, it maintains a graduate student body of approximately 45 Ph.D. and Master's students combined.
The Ph.D. Program prepares students for careers in teaching, and basic and applied research. This preparation emphasizes basic molecular biology and advanced quantitative methods found in engineering and applicable biological research. These engineering methods take advantage of emerging mathematical and computational models of biological phenomena. It is anticipated that graduates of the Ph.D. Program will find rewarding careers in universities, medical schools, research institutions, and new industries.
The Master's Program prepares students for a wide range of consulting and applied research positions in private industry, government, and academia. The Master's degree program also offers outstanding training for students that may be interested in pursuing a Ph.D. but feel that they are not quite prepared for a Ph.D. program.
The Bioinformatics Training Program, funded by The National Institute for General Medical Sciences (NIGMS) of the National Institutes of Health (NIH), prepares students in the field bioinformatics and applied computational biology by engaging them in cutting-edge collaborative research featuring a strong biological or biomedical application.
The Proteomics Training Program in Advanced Proteome Informatics of Cancer, funded by the National Cancer Institute supports students performing graduate cancer-related research and provides training for proteome informatics research.
IGERT is an NSF funded training program on Open Data and is designed to develop better practices for data sharing and reuse in multiple disciplines. In particular, biological sciences are disciplines of focus. Since bioinformatics often involves the management, integration, storage, reuse, and analysis of biological data, this IGERT is particularly appropriate for students in the bioinformatics graduate program.