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Bioinformatics (BS)

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Biology Bachelors BS

Variable Credit Min

60

Variable Credit Max

62

Major Academic Plan

Title

Broad Understanding of Biology

Learning Outcome

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."

Title

Computer Programming

Learning Outcome

Students will design computer programs to facilitate biological data analysis. (BYU AIMS 1 2 3)

Title

Research and Inquiry

Learning Outcome

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

Program Requirements

Requirement 1 — Complete 7 Courses 

course - Biology 4.0

course - Introduction to Bioinformatics 3.0

course - Stat Analysis for Biologists 4.0

course - Bioinformatics Algorithms 3.0

course - Capstone in Bioinformatics 3.0

course - Molecular Biology 3.0

course - Genetics 3.0

Requirement 2 — Complete 1 of 2 Courses 

course - Evolutionary Medicine 2.0

course - Evolutionary Biology 4.0

Requirement 3 — Complete 8 Courses 

course - Gen College Chem 1+Lab Integr 4.0

course - General College Chemistry 2 3.0

course - Intro to Computer Science 3.0

course - Data Structures 3.0

course - Discrete Structure 3.0

course -Adv Software Construction 4.0

course - Algorithm Design & Analysis 3.0

course - Calculus 1 4.0

Requirement 4 — Complete 8 Hours

Note: Up to 2 total credit hours of BIO 194, BIO 399R, and/or BIO 494R are allowed. Note: Either BIO 370 or PHIL 212R can be used to partially fulfill this requirement, but not both.

course - Intro to Mentored Research 0.5

course - Ecology 3.0

course - Computational Cancer Biology 3.0

course - Bioethics 2.0

course - Capstone in Biodiversity & Con 3.0

course - Genetics of Human Disease 3.0

course - Genomics 3.0

course- Mentored Research - You may take up to 2.0 credit hours 0.5v

course - Advanced Genetic Analysis 3.0

course - Evolutionary & Ecol Modeling 2.0

course - Population Genetics 4.0

course - Machine Learning for Bio 3.0

course - Cell Biology 3.0

course - Advanced Physiology 3.0

course - Developmental Biology 3.0

course - Organic Chemistry 1 3.0

course - Organic Chemistry 2 3.0

course - Organic Chem Lab-Nonmajors 1.0v

course - Biochemistry 3.0

course - Mechanisms of Molecular Biol 3.0

course- Structural Biochemistry 3.0

course - Web Programming 3.0

course- Intro to Machine Learning 3.0

course - Software Design 3.0

course - Graphics and Image Processing 3.0

course - Computer Vision 3.0

course - Database Modeling Concepts 3.0

course - Intro Artificial Intelligence 3.0

course - Deep Learning 3.0

course - Calculus 2 4.0

course - Elementary Linear Algebra 2.0

course - Computational Linear Algebra 1.0

course - Calculus of Several Variables 3.0

course- Ordinary Differential Equation 3.0

course - Genetic Counseling 3.0

course - Microbial Genetics 4.0

course - Intro to Medical Ethics - You may take once 3.0

course - Statistical Computing 3.0

course- Nonparametric Stat Methods 3.0

course - Experimental Design 3.0

Requirement 5 — Complete 1 Course

course - Field Exam and Exit Survey 0.0