Bioinformatics Minor for Biology/Biotechnology Majors
The purpose of this interdisciplinary minor is to prepare students to enter the computer-intensive fields of bioinformatics, computational biology, computational chemistry, and molecular modeling, including genomics and proteomics. With the ever-increasing number of fully sequenced genomes, including the human genome, biological databases have grown at such a rate that storing, organizing, indexing, and ultimately mining the data have become key to answering biological questions. The methodologies of genomics, transcriptomics, and proteomics analyze genome structures, patterns of gene expression, and protein structure and function, respectively. Information obtained by computational biology and computational chemistry is used in the design of new drugs to treat a variety of diseases. Major drug and biotechnology companies are eager to hire people trained in the combination of biology and computer science skills that this minor provides.
Bioinformatics Minor for Biology/Biotechnology Majors
Program Requirements
Code | Title | Credits |
---|---|---|
CS-135 | Programming for Non-CS Majors | 3 |
BT-378 | Bioinformatics (can double count as an upper-level elective or the major.) | 4 |
Research/Internship in Bioinformatics | 2-3 | |
Research Experience | ||
Internship: Biology | ||
Advanced Research Experience for Undergraduates | ||
Internship: Computer Science | ||
Independent Study: Computer Science | ||
Internship: Chemistry | ||
Electives - take 3 courses (only one BI/BT course which will not double count in the major) | 9-10 | |
Data Visualization and Statistical Analysis | ||
Data Mining for Non-Cs Majors | ||
Genomics | ||
Systematics and Evolution | ||
Selected Topics: Biological Sciences (as approved by the Bioinformatics advisory board) | ||
Linear Algebra | ||
Probability and Statistics (can substitute for MA-150 as ancillary requirement for the major) | ||
Mathematical Modeling | ||
Computing Ethics | ||
Total Credits | 18-20 |
- Understand the intersectionality of biology, computer science, and mathematics in the context of the field
- Utilize existing tools to evaluate bioinformatics data, discover patterns, and draw conclusions
- Communicate bioinformatics information in both written and oral forms
- Develop laboratory skills that are used in the bioinformatics field