Computational Biology — Graduate Certificate
Offered by the Department of Biological Sciences, this certificate is designed to provide trainees with a broad understanding and appreciation of the utility of computation in relation to “Big Data”, or large data sets that can only be analyzed with an advanced set of computational skills towards revealing patterns, trends, and associations pertaining to biological and life science phenomena. This certificate program requires 18 credit hours of coursework to be completed. All trainees in the certificate program will complete 11-12 credit hours of required coursework. Trainees will select (at least) 6-7 additional credit hours of coursework from a given list that heavily utilize computational approaches and tailored to their specific research interests.
| Code | Title | Hours |
|---|---|---|
| Required coursework (11 or 12 credit hours): | 11-12 | |
| BIOL 6800 | Introduction to Computational Biology | 3 |
| STAT 7000 | Experimental Statistics I | 4 |
| BIOL 7180 | Scripting for Biologists | 2-3 |
| or PLPA 6820 | Principles and Tools for Reproducible Science in Agriculture | |
| *Either course is allowed to complete this requirement | ||
| BIOL 7800 | Computational Biology Colloquium | 2 |
| Selected elective coursework (6-7 credit hours): | 6-7 | |
| From approved list of courses that heavily utilize computational approaches. The list of potential electives is expected to grow and evolve given development of new courses tied to continuing new faculty hires at Auburn University. | ||
Trainees who successfully complete this certificate program will exhibit proficiency in the comprehension, planning and implementation of computationally intensive experiments and analyses of biological data originating from various sources and should be well-positioned for finding positions in academia, government or the private sector.
Elective coursework list can be found here: https://www.auburn.edu/cosam/departments/biology/certificate/graduate_computational_biology.htm