At the intersection of biology and computer science, bioinformatics is the study of applying computational tools to collect and analyze complex biological data such as genomic sequences.
A minor in Bioinformatics will give students interested in biology a foundation in programming that will complement their biology backgrounds. In addition to programming, students will take basic courses in statistics and machine learning, leading up to coursework in bioinformatics. Computer Science has competitive entrance requirements.
Please contact a department advisor for more information.
Effective Spring 2022
Students must satisfactorily complete the total credits required for the minor. Minors and interdisciplinary minors require 12 or more upper-division (300- to 400-level) credits.
Additional coursework may be required due to prerequisites.
A minimum grade of a C (2.000) is required in all courses required for the minor.
|BZ 360||Bioinformatics and Genomics||3|
|CS 220||Discrete Structures and their Applications||4|
|CS 345||Machine Learning Foundations and Practice||3|
|CS 425||Introduction to Bioinformatics Algorithms||4|
|Select one course from the following:||4|
|Calculus for Biological Scientists I (GT-MA1)|
|Mathematics for Computational Science I (GT-MA1)|
|Calculus for Physical Scientists I (GT-MA1)|
|Select one course from the following:||2-3|
|Culture and Coding: Python (GT-AH3)|
|Introduction to Programming (CS0)-Python|
|Select one course from the following:||3-4|
|Principles of Animal Biology (GT-SC2)|
|Principles of Plant Biology (GT-SC1)|
|Attributes of Living Systems (GT-SC1)|
|Select one course from the following:||2-4|
|CS1---No Prior Programming Experience|
|CS1--Prior Programming Experience|
|Select one course from the following:||3|
|Introduction to Applied Statistical Methods|
|Introduction to Communications Principles|
|Introduction to Biostatistics|
|Intro to Theory and Practice of Statistics|
|Program Total Credits:||28-32|