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Rensselaer stands among a select group of institutions providing undergraduate education in this rapidly developing discipline. Computational biology explores biological systems by employing computational and statistical analysis of extensive datasets. Students in this program develop expertise across biology, computer science, and information technology. Rensselaer offers one of the rare undergraduate opportunities in this dynamic and innovative field, preparing future biologists to leverage advancing computational capabilities for tackling significant biological challenges with global impact.
The program features two specialized tracks: biomolecular systems and ecological systems. The biomolecular systems track emphasizes computational approaches at the microscopic level, examining protein structures, nucleic acid interactions, glycan formations, biomembrane behaviors, and pharmaceutical development. The ecological systems track applies computational techniques to address large-scale environmental issues, ranging from regional ecosystems to worldwide climate patterns.
Alumni frequently pursue advanced studies in the expanding array of global computational biology graduate programs. Those entering professional fields typically find opportunities in diverse sectors such as pharmaceutical development, healthcare data analysis, agricultural biotechnology, governmental research institutions, database technology firms, and biotech enterprises.