In addition, we offer a combined BS/MS program which can be completed in a total of five years. Students in the BS program can request admission to the BS/MS program in their second year or later.
For those who wish more laboratory experience, we also offer a Molecular Genetics Option with less computer science and more molecular genetics experience. The Molecular Genetics Option is only available to students enrolled in the BS program.
Rochester Institute of Technology College of Science
The RIT bioinformatics program offers courses not found at other universities that prepare you for careers in genomics, proteomics, and other fast-growing fields.
Students in this course study the theory behind foundational and more modern bioinformatics algorithms such as phylogenetics, genomic sequence assembly, nucleic acid secondary structure, and basic gene finding. Additionally, students implement key algorithms in the laboratory portion of the course.
Ethics in Bioinformatics
The objectives of this course are to expose students to the ethical issues associated with bioinformatics research and the application of bioinformatics to product development and commercialization. This course will be presented in a seminar format in order to engender and facilitate discussion, among faculty and students, of the issues presented.
Molecular Modeling and Proteomics
The course will explore two facets of protein molecules: their structure and their expression. The structure component will build upon information from the Bioinformatics course and will add further sophistication with analysis of inter-molecular interactions and ligand/receptor pairing. Software that permits molecular docking experiments will be employed.
Statistical Models for Bioinformatics
An introduction to the probabilistic models and statistical techniques used in computational molecular biology. Probabilistic and/or statistical techniques will be presented which are needed for the understanding of pairwise and multiple sequence alignment methods, gene and protein classification methods, and phylogenetic tree construction.