The Computational Biology option includes 34-36 option-specific elective credits. Students pursing this option will need to fulfill the following requirements:

Discipline Course name / number / credits
Mathematics
3 classes; 11 credits
  • Applied Differential Equations / MTH 256 / 4 credits
  • Introduction to Mathematical Biology / MTH 427 / 3 credits
  • Discrete Math / MTH 231 / 4 credits
Biology/Bioinformatics and Statistics
Choose at least 3 classes with:
  1. at least one from Biology/Bioinformatics
  2. and one from Statistics 
9-10 credits
  • Adv. Comp for Biol Data Analysis / BDS  472 / 3 credits
  • Comparative Genomics / BDS 475 / 4 credits
  • Pop. Genomics / BDS 477 / 3 credits
  • Functional Genomics / BDS 478 / 3 credits
  • Evolutionary Genomics / BI 454 / 3 credits
  • Phylogenetics / BI 456 / 4 credits
  • Microbial Genomes, Biochemistry & Diversity / MB 420 / 3 credits
  • Applied Bioinformatics / BB 485 / 3 credits
  • Networks in Computational Biology BDS /CS 446 / 3 credits
  • AND one of the following:
    • Methods of Data Analysis / ST 413 / 4 credits
    • Design and analysis of planned experiments / ST 415 / 3 credits
    • Sampling Methods / ST 431 / 3 credits
  • OR other class with advisor approval
Computer Science
2 classes; 8 credits
  • Intro to Comp. Sci / CS 162 / 4 credits (has prerequisites that are not part of the option requirement
  • Data Structures / CS 261 / 4 credits
Advanced Computer Science
1 class; 3-4 credits
  • Analysis of Algorithms / CS 325 / 4 credits
  • Introduction to Artificial Intelligence / CS 331 / 4 credits
  • Software Engineering I / CS 361 / 4 credits
  • Software Engineering II / CS 362 / 4 credits
  • Graph Theory / CS 420 / 3 credits
  • Machine Learning / CS 434 / 4 credits
  • Intro Info. Visual / CS 458 / 4 credits
  • Intro Parallel Program / CS 475 / 4 credits
  • OR other class with advisor approval