• Concentrations and course offerings may vary by campus and/or by program modality.  Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality. 
  • Certain options within the program may be required at certain campuses or for certain program modalities.  Please consult with your advisor or admissions coach for requirements at your campus or for your program modality. 

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

BINF 6200Bioinformatics Programming4
BINF 6308Bioinformatics Computational Methods 14
BINF 6309Bioinformatics Computational Methods 24

Elective

Complete one of the following. Electives outside this list may be chosen in consultation with faculty advisor:3-4
Genomics in Bioinformatics
Omics in Bioinformatics
Biomedical Imaging
Molecular Bioengineering
Cellular Engineering
Medical Physiology
Stem Cells and Regeneration
Inventions in Microbial Biotechnology
Medical Microbiology
Biological Imaging
Immunology
Evolution
Comparative Neurobiology
Advanced Genomics
Cell and Molecular Biology of Aging
Immunotherapies of Cancer and Infectious Disease
Molecular Cell Biology for Biotechnology
Biochemistry
Molecular Cell Biology
Neurobiology and Behavior
Foundations in Biotechnology
Biotechnology Lab Skills
The Biotechnology Enterprise
Managing and Leading a Biotechnology Company
Launching Your Science: Biotechnology Entrepreneurship
Bioprocess Fundamentals
Cell Culture Processes for Biopharmaceutical Production
Downstream Processes for Biopharmaceutical Production
Drug Product Processes for Biopharmaceuticals
Molecular Interactions of Proteins in Biopharmaceutical Formulations
Cutting-Edge Applications in Molecular Biotechnology
Higher-Order Structure Analytics
Biotechnology Applications Laboratory
Introduction to Glycobiology and Glycoprotein Analysis
Protein Mass Spectrometry Laboratory
Protein Chemistry
Programming Design Paradigm
Foundations of Artificial Intelligence
Database Management Systems
Principles of Programming Language
Foundations of Software Engineering
Computer Systems
Web Development
Fundamentals of Computer Networking
Algorithms
Machine Learning
Information Retrieval
Data Mining Techniques
Collecting, Storing, and Retrieving Data
Introduction to Data Mining/Machine Learning
Introduction to Computational Statistics
Information Design and Visual Analytics
Introduction to Mathematical Methods and Modeling
Numerical Analysis 1
Numerical Analysis 2
Graph Theory
Probability 1
Statistics for Bioinformatics
Probability 2
Mathematical Statistics
Regression, ANOVA, and Design
Experimental Design and Biostatistics
Network Science 1

Program Credit/GPA Requirements

15–16 total semester hours required
Minimum 3.000 GPA required