Minors

Our department offers two minors:

• Biological sciences minor
• Computational biology minor

We require students to maintain a 2.0 grade point average (GPA) in the minor, excluding allied field courses.

Biological Sciences (BI) Minor

To begin the minor declaration process for a BI minor, please use this link to access our departmental form.

Students in this minor will gain a solid foundation in the biological sciences and are required to take the following courses:

• One of the following:
  • BIOL 110L: Principles of Biology I with Lab
  • BIOL 112L: Perspectives in Biology I with Lab
• One of the following:
  • BIOL 111L: Principles of Biology II with Lab
  • BIOL 113L: Perspectives in Biology II with Lab
• One of the following:
  • BIOL 190: The Human Genome
  • BIOL 198: Principles of Genetics
  • One elective course from the biology diversification list
• Two elective courses from the biology diversification list
• One of the following options:
  • Another elective course from the biology diversification list
  • A combination of three laboratory experiences associated with four-credit lectures or individual one-credit courses from laboratory list
  • One four-credit full lab from the laboratory list
  • One four-credit Independent Research Biological Sciences 395 Course pending approval of final report

Contact

Please contact Cheeptip Benyajati by email at cheeptip.benyajati@rochester.edu with any questions.

Minor in Computational Biology (CB)

To begin the minor declaration process for a CB minor, please use this link to access our departmental form.

Students in this minor will study biological systems using math and computer science. This minor requires the following courses:

• One of the following:
  • BIOL 110L: Principles of Biology I with Lab
  • BIOL 112L: Perspectives in Biology I with Lab (
• One of the following:
  • BIOL 190: The Human Genome and BIOL 198P: Genetics Lab
  • BIOL 198: Principles of Genetics and BIOL 198P: Genetics Lab
• One of the following:
  • BIOL 208: Introduction to Programming for Biologists
  • CSC 161: The Art of Programming
  • CSC 171: The Science of Programming
• BIOL 214/218P: Biostatistics with Data Analysis in R Lab
• Two of the following:
  • BIOL 219L: Genomics of Quantitative Traits
  • BIOL 253L: Computational Biology
  • BIOL 257L: Applied Genomics
  • BIOL 259L: Applied Population Biology

Contact

Please contact Amanda Larracuente at (585) 273-1693 or alarracu@bio.rochester.edu with any questions.