The Graduate Certificate in Bioinformatics seeks to provide students with core knowledge in bioinformatics programming, integrating knowledge from the biological, computational, and mathematical disciplines. Students gain the data and genomic analysis skills needed to employ bioinformatics techniques to biological problems. The graduate certificate consists of four courses, three bioinformatics courses and one elective, totaling 15–16 semester hours.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
Code | Title | Hours |
---|---|---|
BINF 6200 | Bioinformatics Programming | 4 |
BINF 6308 | Bioinformatics Computational Methods 1 | 4 |
BINF 6309 | Bioinformatics Computational Methods 2 | 4 |
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 | ||
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 | ||
Basic 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 | ||
Protein Mass Spectrometry Laboratory | ||
Protein Chemistry | ||
Analytical Biotechnology | ||
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 | ||
Network Science Data 2 |
Program Credit/GPA Requirements
15–16 total semester hours required
Minimum 3.000 GPA required