The Master of Science (MS) in Bioinformatics seeks to provide students with core knowledge in bioinformatics programming, integrating knowledge from the biological, computational, and mathematical disciplines. Upon completion, students are equipped to apply bioinformatics and computational methods to biological problems. Students in the MS program have the opportunity to gain professional work experience via co-op.
The program consists of core course work in computational methods, programming, and statistics, enhanced by electives in molecular biology, biochemistry, molecular modeling, web development, database design and management, data mining, and other related topics.
- 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
Course List | Code | Title | Hours |
| BINF 6310 | Introduction to Computational Methods in Bioinformatics | 4 |
| BIOL 6381 | Ethics in Biological Research | 2 |
| BIOT 5219 | The Biotechnology Enterprise | 2 |
| BINF 6200 | Bioinformatics Programming | 4 |
| MATH 7340 | Statistics for Bioinformatics | 4 |
| 4 |
| BINF 6500 | Professional Development for Co-op | 0 |
| |
| Projects for Professionals 1 | |
| Co-op Work Experience | |
Concentrations or Electives Option
A concentration is not required. Students may complete electives in lieu of a concentration.
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required
Bioinformatics Enterprise Concentration
Course List | Code | Title | Hours |
| BIOT 5225 | Managing and Leading a Biotechnology Company | 3 |
| BIOT 5227 | Launching Your Science: Biotechnology Entrepreneurship | 3 |
| BIOT 5400 | Scientific Information Management for Biotechnology Managers | 3 |
| 3 |
Biotechnology Concentration
Course List | Code | Title | Hours |
| BIOT 5120 | Foundations in Biotechnology | 3 |
| BIOT 5631 | Cell Culture Processes for Biopharmaceutical Production | 3 |
| BIOL 6299 | Molecular Cell Biology for Biotechnology (Electives) | 3 |
| 3 |
Data Analytics Concentration
Course List | Code | Title | Hours |
| DA 5020 | Collecting, Storing, and Retrieving Data | 4 |
| DA 5030 | Introduction to Data Mining/Machine Learning (or Elective) | 4 |
| INSH 5302 | Information Design and Visual Analytics | 4 |
Health Informatics Concentration
Course List | Code | Title | Hours |
| HINF 5101 | Introduction to Health Informatics and Health Information Systems | 3 |
| HINF 5102 | Data Management in Healthcare | 3 |
| HINF 6220 | Database Design, Access, Modeling, and Security | 3 |
| 3 |
Medical Health Informatics Concentration
Course List | Code | Title | Hours |
| HINF 5105 | The American Healthcare System | 3 |
| HINF 5110 | Global Health Information Management | 3 |
| HINF 5200 | Theoretical Foundations in Personal Health Informatics | 4 |
| 2 |
Omics Concentration
Course List | Code | Title | Hours |
| BINF 6400 | Genomics in Bioinformatics | 4 |
| BINF 6420 | Omics in Bioinformatics | 4 |
| 4 |
Electives Option
Course List | Code | Title | Hours |
| 12 |
Elective List
Course List | Code | Title | Hours |
| |
| Genomics in Bioinformatics | |
| Omics in Bioinformatics | |
| Biomedical Imaging | |
| Molecular Bioengineering | |
| Cellular Engineering | |
| Medical Physiology | |
| Biology Colloquium | |
| 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 | |
| Foundations in Biotechnology | |
| Biotechnology Lab Skills | |
| The Role of Patents in the Biotechnology Industry, Past and Future | |
| Managing and Leading a Biotechnology Company | |
| Launching Your Science: Biotechnology Entrepreneurship | |
| Introduction to Biotherapeutic Approvals | |
| Concepts in Regulatory Science | |
| 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 | |
| Cellular Therapies | |
| Higher-Order Structure Analytics | |
| Experimental Design and Biostatistics | |
| Design and Development of Biopharmaceuticals | |
| Biotechnology Applications Laboratory | |
| Introduction to Glycobiology and Glycoprotein Analysis | |
| Protein Mass Spectrometry Laboratory | |
| Protein Chemistry | |
| Molecular Modeling | |
| 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 | |
| Unsupervised Machine Learning and Data Mining | |
| Population Dynamics | |
| Introduction to Health Informatics and Health Information Systems | |
| Data Management in Healthcare | |
| The American Healthcare System | |
| Global Health Information Management | |
| Theoretical Foundations in Personal Health Informatics | |
| Database Design, Access, Modeling, and Security | |
| Patient Engagement Informatics and Analytics | |
| 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 | |
| Machine Learning and Statistical Learning Theory 1 | |
| Probability 2 | |
| Mathematical Statistics | |
| Regression, ANOVA, and Design | |
| Biophysical Methods in Drug Discovery | |
| Pharmaceutical Science Seminar | |
| Network Science 1 | |
| Functional Human Neuroanatomy | |
| Lab for PT 5410 | |
