Computational Biology ScB & AB

Computational Biology ScB & AB


Computational Biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools. The field is widely defined and includes foundations in computer science, applied mathematics, statistics, biochemistry, molecular biology, genetics, ecology, evolution, anatomy, neuroscience and visualization. Our program educates the student liberally in these fields, building on a foundation of coursework that may then focus via several possible tracks. The program offers three focus areas: Computer Sciences, Biological Sciences, and Applied Mathematics and Statistics. Computational Biology graduates are candidates for competitive positions in industry or for training in academic science.

The concentration in Computational Biology is administered by the Center for Computational Molecular Biology (CCMB). For detailed information on the prerequisites and courses refer to the CCMB's Undergraduate Education Page.

Concentration advisors are from the Department of Ecology and Evolutionary Biology, Department of Computer Science, and the Department of Applied Mathematics. Advisors include: S. Ramachandran (EEB), S. Istrail (CSCI), D. Weinreich (EEB), B. Raphael (CSCI), and C. Lawrence (APMA).