The Undergraduate Certificate Program in Quantitative and Computational Biology (QCB) is offered and administered by the Lewis-Sigler Institute for Integrative Genomics (LSI), in close collaboration with several other departments. The program is designed to instruct students in the theory and practice of using big datasets to achieve a quantitative understanding of complex biological processes. 

Examples of ongoing research include organizational principles of metabolic networks, quantitative modeling of cell biological processes, the genetic basis of complex behavior, comparative genomics of regulatory networks, quantitative analysis of gene-environment interactions, evolution of gene regulation, and circuitry driving aging. 

At the core of the curriculum is independent research initiated in the fall of sophomore or junior year, in which students participate in the design, execution, and analysis of experiments in a host laboratory of their choice. The required courses provide a strong background in modern methodologies in data analysis, interpretation, and modeling. The undergraduate QCB Certificate is awarded to students who successfully complete the program requirements.

See flowchart that guides you through how to apply and graduate with a QCB Certificate. 

Note that the Graduate Program in Quantitative and Computational Biology is distinct from this Undergraduate Program. 


Britt Adamson
Assistant Professor, Molecular Biology and Lewis-Sigler Institute for Integrative Genomics
Ben X. Zhang
Lecturer and Integrated Science Curriculum Manager
QCB Certificate Requirements

View current requirements for graduating with a QCB certificate

Apply to QCB Certificate Program

Access the application form and submission instructions

QCB Certificate Program Committee

Program committee comprised of LSI faculty members.  

Frequently Asked Questions

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