Bioinformatics

Bioinformatics
BS
Hours60 Credit Hours
MAPMajor Academic Plan

Program Requirements

requirement 1 Complete 6 courses
requirement 2 Complete 1 course
requirement 3 Complete 8 courses
requirement 4 Complete 1 course
STAT 201 - Statistics for Engineers and Scientists 3.0
STAT 251 - (Not currently offered)
requirement 5 Complete 9.0 hours from the following course(s)
BIO 370 - Bioethics 2.0
BIO 421 - Evolutionary Biology Laboratory 1.0
BIO 450 - Conservation Biology 3.0
BIO 463 - Genetics of Human Disease 3.0
BIO 468 - (Bio-MMBio-PWS) Genomics 3.0
BIO 494R - Plant Biology 6.0v
You may take up to 2 credit hours.
BIO 555 - Evolutionary and Ecological Modeling 2.0
BIO 560 - Population Genetics 4.0
C S 340 - Software Design and Testing 3.0
C S 360 - Internet Programming 3.0
C S 450 - Introduction to Digital Signal and Image Processing 3.0
C S 452 - Database Modeling Concepts 3.0
C S 470 - Introduction to Artificial Intelligence 3.0
C S 478 - Tools for Machine Learning 3.0
C S 484 - Parallel Processing 3.0
CHEM 351 - Organic Chemistry 1 3.0
CHEM 352 - Organic Chemistry 2 3.0
CHEM 353 - Organic Chemistry Laboratory--Nonmajors 2.0v
CHEM 481 - Biochemistry 3.0
CHEM 482 - Mechanisms of Molecular Biology 3.0
CHEM 489 - Structural Biochemistry 3.0
CHEM 584 - Advanced Biochemistry Methods 1 3.0
CHEM 586 - Advanced Biochemistry Methods 2 3.0
MATH 113 - Calculus 2 4.0
MATH 313 - Elementary Linear Algebra 3.0
MATH 334 - Ordinary Differential Equations 3.0
MATH 410 - Introduction to Numerical Methods 3.0
MATH 411 - Numerical Methods 3.0
MATH 431 - (Math - EC En 370) Probability Theory 3.0
MATH 450 - Combinatorics 3.0
MMBIO 360 - Microbial Genetics 4.0
MMBIO 465 - Virology 3.0
PDBIO 360 - Cell Biology 3.0
PDBIO 362 - Advanced Physiology 3.0
PDBIO 382 - (Not currently offered)
PDBIO 582 - Developmental Genetics 3.0
STAT 381 - Statistical Computing 3.0
STAT 435 - Nonparametric Statistical Methods 3.0
STAT 531 - Experimental Design 3.0
Program Outcomes

Broad Understanding of Biology

Students will interpret relationships among living things and analyze and solve biological problems, from the molecular to ecosystem level using basic biological concepts, grounded in foundational theories."

Computer Programming

Students will Create computer programs that facilitate biological data analysis. (BYU AIMS 1,2,3)

Research and Inquiry

Students will be able to conduct basic bioinformatics research.(BYU AIMS 2,3,4)