Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
Code | Title | Hours |
---|---|---|
BINF 6200 | Bioinformatics Programming | 4 |
BINF 6310 | Introduction to Bioinformatics | 4 |
BINF 6400 | Genomics in Bioinformatics | 4 |
or BINF 6430 | Transcriptomics in Bioinformatics |
Elective
Code | Title | Hours |
---|---|---|
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 | ||
Transcriptomics 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 | ||
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