Bioinformatics Certificate Program

The Certificate Program in Bioinformatics is designed to introduce students to how computers can be developed or employed to analyze vast quantities of biological data, such as DNA, RNA, protein sequences, and biomolecular structures. The program is designed for students in either Biology or Computer Science Majors. Receiving a BS degree in biology, rather than a BA degree, would better facilitate completion of this program. Students pursuing the program would take 35-37 hours of course work, with more than half of those hours filling required courses for either major. Students would receive a certificate upon completion of the program. Majors in computer science would also have the option of taking one additional biology course to receive a minor in biology. Majors in biology would have the option of taking three additional computer science courses to receive a minor in computer science.

Certificate Requirements:

The following courses would be required to earn the certificate:

BIO 142General Biology 1

4

OR

BIO 143General Biology 2

4

 

BIO 250Introduction to Bioinformatics

3

BIO 291Genetics

4

MTH 161Analytic Geometry and Calculus I

4

 

PSY 204/MTH 204Research Statistics

3

OR

MTH 401Mathematical Statistics I

3

OR

ECO 212Fundamentals of Business Statistics

3

 

CSC 141Introduction to Computer Science

3

CSC 205Bioinformatics Programming

3

CSC 210Bioinformatics Algorithms

3

BIO 404Special Problems in Biology

variable credits

BIO/CSC
Two Elective courses in Biology or Computer Science

CSC 141: While Biology majors would take CSC 141 Introduction to Computer Science, Computer Science majors could substitute CSC 144 Object Oriented Programming, the first semester course for Computer Science majors.

BIO 404: A minimum of 2 credit hours of research (Bio 404) is required for completion of the program.

Elective courses: The elective course offerings would include two of the following choices: BIO 310 Biochemistry, BIO 321 Evolution, BIO 426 Cell Physiology, or CSC 320 Genetic Algorithms.