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Genomics Major

In order to major in genomics, you must apply through the Center for Interdisciplinary Studies.


Malcolm Campbell, Professor of Biology and Genomics Director
Rachid El Bejjani, Assistant Professor of Biology
Laurie Heyer, Professor and Department Chair, Mathematics and Computer Science
Wendy Raymond, Professor of Biology, Vice President for Academic Affairs, Dean of the Faculty
Nicole Snyder, Associate Professor of Chemistry

Learning Outcomes

Students who major in genomics will learn to:

  • formulate hypotheses based on data presented in scientific publications
  • test hypotheses by mining databases to find supporting or contradictory evidence
  • design and perform well controlled wet lab experiments that address tractable systems-level questions
  • use databases to find information and locate details about specific proteins and genes
  • interpret complex data sets to address advanced biological questions
  • communicate summaries (written and oral) of complex data and the resulting conclusions
  • interpret organic chemical reactions
  • perform statistical analyses of datasets
  • evaluate choices that produce ethical dilemmas and support conclusions with relevant data
  • write computer code that can parse data and execute useful sequence analysis
  • build web pages that clearly communicate complex information 


  • Biology: one even number and one odd number from this list: BIO 111, 112, 113, 114
  • MAT 112
  • CHE 115

Course Requirements

The major requires 12 courses, including:

Two Biology courses
  • BIO 309 Genomics
  • BIO 343 Laboratory Methods in Genomics
Two life science courses
  • BIO 201 Genetics
  • BIO 202 Microbiology
  • BIO 208 Cell Biology
  • BIO 306 Developmental Biology
  • BIO 333 Cell and Molecular Neuroscience
  • BIO 303 or CHE 230 Biochemistry
  • BIO 307 or CHE 375 Immunology
  • CHE 377 Toxicology
Two chemistry courses
  • CHE 250 Introductory Organic Chemistry
  • CHE 350 Experimental Organic Chemistry
Two computer science courses
  • CSC 209 Bioinformatics Programming
  • CSC 221  Data Structures
Two mathematics courses
  • MAT 140 Multivariable Calculus and Modeling
  • BIO 241 Biostatistics
Thesis (both courses required)
  • CIS 495 Thesis (fall)
  • CIS 496 Thesis (spring)