We are in the midst of the Artificial Intelligence (AI) revolution that is transforming every major industry, including healthcare. Our students and researchers with a focus on this domain develop and use advanced computational methods and tools to significantly improve patient care, disease prevention, and biomedical discovery. Topics include Machine Learning, Natural Language Processing (including Large Language Models), Data Integration and Harmonization, Data Mining and Analytics, Computational Phenotyping, Predictive Modeling, Ontology, and Data Security and Cryptology. Students and researchers in Health Data Science and AI work closely with those in Clinical and Health Informatics and Bioinformatics and Systems Medicine.
Students can pursue an education in Health Data Science and Artificial Intelligence under the following academic programs: Graduate Certificate, Master of Science (MS), and Doctor of Philosophy (PhD). Students are admitted to the school, not a specific department, so that they can obtain a broad and comprehensive education experience while specializing with an in-depth training in the three areas offered by the Department of Health Data Science and Artificial Intelligence, Department of Clinical and Health Informatics, and Department of Bioinformatics and Systems Medicine.
In addition to a core set of foundational courses for all concentrations, the following are selected courses focusing on Health Data Science and Artificial Intelligence
We crunched the numbers and they don't lie.
|Career Outcomes for Health Data Science and Artificial Intelligence|
|Average Salary||Average Salary Range|
|Houston||$123,948||$63,000 - $140,000|
|Texas||$114,453||$64,000 - $123,000|
|Nationwide||$94,884||$92,866 - $154,000|