If your answer is “yes” to either question, then the Bachelor of Science in Bioinformatics might be perfect for you. Bioinformatics is a combination of biology and computer science, with a substantial dose of statistical methods. In more technical terms, bioinformatics refers to the retrieval and analysis of biochemical and biological data using mathematics and computer science. (http://dictionary.reference.com) The need for scientists in this field has exploded because of the Human Genome Project.
Bioinformatics Job Growth
According to the U.S. Bureau of Labor Statistics, the median annual salary for bioinformatics scientists was about $71,000 in 2011. Expected job growth for scientists in this category is predicted to be 31 percent between 2010 and 2020.
“In 2013, Monsanto and the Donald Danforth Plant Science Center announced expansions totaling $445 million, which will create 775 new jobs in the St. Louis area. A number of these jobs will require bioinformatics skills and coursework that are often lacking in graduates from local, small liberal arts colleges. Smaller genomics companies in St. Louis are also on the rise, and as these companies mature, they will require a continuous influx of bioinformaticians that want to start their careers in St. Louis. I view Fontbonne’s idea to establish a Bachelor of Science in Bioinformatics as an excellent strategic move that will benefit its students and the university as a whole.”
~ Rob Alba, Ph.D., Functional Genomics Lead, Monsanto Company
Bioinformatics Program Highlights
- Study with and participate in research alongside professors on topics ranging from cancer to soybeans to the Zika virus.
- Take classes that are equal parts theory and hands-on experience.
- Work in labs equipped with state-of-the-art hardware and software.
- Enjoy small class sizes and get all of the personal attention you deserve.
- Intern with major St. Louis companies.
- Be part of the only undergraduate bioinformatics program in Eastern Missouri.
Bioinformatics Course Samples
Algorithms and Data Structures
Introduction to the principles of algorithm analysis, abstract data types covering stacks, queues, lists, trees and recursion, algorithms of sorting and searching. Additional topics include graph algorithms, text compression, dynamic programming, and randomized algorithms. Prerequisite: CIS 210 and (MTH 120 or CIS 120).
Bioinformatics Programming Languages
Covers an introduction to scripting languages and their applications to biological data (currently Python programming language and the R-statistical analysis program will be taught). Prerequisites: (MTH 125 or MTH 115) and BIO 112 (or an introductory biology course which can be concurrent).
Modeling and Experimental Design
An introductory course in the application of mathematics, statistics and computer science in the Biological Sciences taught from the science perspective. Emphasis will be placed on modeling in the areas of genomics, epidemiology, phylogeny and evolution, and design in the areas of ecology, gene expression and related areas. Prerequisites: BIO 114; BIO 212; MTH 105 or MTH 110 (or equivalent); MTH 115 or MTH 125.
Bioinformatics Career Opportunities
Questions? Contact our Office of Admission: 314-889-1400 or 1-800-205-5862 | firstname.lastname@example.org