Undergraduate Embedded Certificate in Computational and Quantitative Biology

Certificates are available in the following areas of concentration:

For more information about Biological Sciences certificates, click here.

Program of Study

Certificate programs in Biology and Physiology are available to students from any major. For Biology majors, the Certificate program is a way of customizing your Biology Electives to focus on a particular concentration in biology. For other majors, a Biology or Physiology certificate is a way of enhancing your degree to include an emphasis in biological concepts. Each certificate requires 12 credit hours of approved courses from that certificate’s list, at least 9 of which must be at the 3000 level or higher. All courses counting toward the certificate must be taken on a letter-grade basis. Major electives can be counted toward certificates, but courses required by name and number in a student’s major program of study will not be counted toward certificates. While students may complete more than one certificate, they may not double-count courses towards more than one certificate or minor. Non-Biology majors are required to include at least 9 credits of BIOS coursework for their certificate, except in the case of the Physiology certificate. Further information is available from School of Biological Sciences advisors.

For non-Biology majors:
Additional courses that can count towards any Biological Sciences certificate (with the exception of the Physiology certificate): BIOS 1107/BIOS 1107L, BIOS 2300, BIOS 2310, BIOS 2600, BIOS 2601, BIOS 3450, BIOS 3451 (as long as these courses are not required for the major program of study, and only up to 3 credits of courses at the 1xxx-2xxx level can count). At least 9 credits of BIOS coursework are required for each certificate.

New special topics courses may be added to relevant biology certificates with approval from the School of Biological Sciences. Contact a Biology advisor to request approval.

Twelve (12) hours from the following:12
Math Models in Biology
Genomics and Applied Bioinformatics
Molecular Evolution
Experimental Design and Statistical Methods in Biological Sciences
Microbial Ecology
Population Dynamics
Human Evolutionary Genomics
Genetics of Complex Human Traits and Diseases
Biological Networks and Genomics
Introduction to Database Systems
Introduction to Computing Concepts for Bioinformatics
Applied Combinatorics
Introduction to Probability and Statistics
Introduction to Graph Theory
Statistics and Applications