The Computational Biology option includes 29-33 option-specific elective credits. Students pursing this option will need to fulfill the following requirements:

Discipline Course name / number / credits
Mathematics
2 classes; 7 credits
  • Applied Differential Equations / MTH 256 / 4 credits
  • Introduction to Mathematical Biology / MTH 427 / 3 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
  • Functional Genomics / BOT 460 / 3 credits
  • OR Ecosystem Genomics / BOT 458 / 3 credits
  • OR Comparative Genomics / BOT 475 / 3 credits
  • OR Networks in Computational Biology / CS 446 / 3 credits
AND one of the following:
  • Methods of Data Analysis / ST 413 / 4 credits
  • OR Design and analysis of planned experiments / ST 415 / 3 credits
  • OR Sampling Methods / ST 431 / 3 credits
  • OR other class with advisor approval
Computer Science
1 class; 4 credits
  • Analysis of Algorithms / CS 325 / 4 credits
Advanced Computer Science
Choose at least 3 classes; 9-12 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