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.
Students may pursue a Bachelor of Arts or a Bachelor of Science. Students pursuing the ScB have the option of electing a concentration in Computational Biology with one of three focus areas: Computer Sciences, Biological Sciences, or Applied Mathematics & Statistics. Both programs require a senior capstone experience that pairs students and faculty in creative research collaborations.
Students in this concentration will:
Click here for a list of requirements.
Seniors complete a research project under faculty supervision. The themes of such projects evolve with the field and the technology, but should represent a synthesis of the various specialties of the program. Students must enroll in either one semester of reading and research with a CCMB faculty member or approved advisor or a 2000-level computational biology course.
To be considered an honors candidate, students are expected to maintain an outstanding record, with no "C's" in concentration courses and with a minimum of an "A-" average in concentration courses. Students should take at least one semester, and are strongly encouraged to take two semesters, of reading and research with a CCMB faculty member or approved advisor. Students must submit to a public defense of their theses, open to the CCMB community.
Any deviation from these rules must be approved by the director of undergraduate studies, in consultation with the student's advisor.
This concentration allows you to address the following Liberal Learning goals:
Alumni with degrees in Computational Biology have gone on to careers in management consulting, Bioinformatics and Quantitative Biology research, medicine, and in health technology fields.