Request for Applications
Certificate in Biomedical Data Science (CBDS) Program
Application Due Date: April 1, 2021
Anticipated Start Date: August, 2021
Applications are being solicited from faculty, students, and staff interested in advancing their knowledge of Biomedical Data Science at UT Health San Antonio.
Individuals eligible to apply to the CBDS program include all UT Health San Antonio students, postdoctoral trainees, clinical residents and fellows, and faculty from the Schools of Medicine, Nursing, Dentistry, Health Professions, and Graduate School of Biomedical Sciences (GSBS) as well as from individuals and organizations outside UT Health San Antonio. All students should have a sufficient educational background in the quantitative computational or biomedical sciences prior to admission to the program. This program may be helpful for applicants seeking post-doctoral and career grants (K-awards) as part of a data analytics training program.
Data science is the process of discovery and building valuable insights from data, and biomedical data scientists have a fundamental understanding of biology, medicine, computer science, and statistics. Data scientists play an increasing role shaping the future of biomedical research and healthcare practice. According to the Bureau of Labor Statistics, this field is experiencing a rapid acceleration in growth projections. The BLS states, “The STEM group that is projected to grow fastest from 2014 to 2024 is the mathematical science occupations group at 28.2 percent”. Statisticians are expected to grow fastest between 2014-2024 with a growth rate of 33.8 percent. Furthermore, the BLS also states how employment in computer occupations is projected to increase by 12.5 percent from 2014 to 2024, resulting in approximately 1.5 million new jobs
A Graduate Certificate in Biomedical Data Science (CBDS) program fills the need for the specialized education of trainees who will gain experience to speed the development of Biomedical Data Science strategies, to refine education programs for future leaders in the field of Biomedical Data Science (BDS), and to translate BDS research findings into public health messages. Trainees will pursue careers with the National Institutes of Health, academic research centers, state agencies, and at the Centers for Disease Control.
The educational objectives for the CBDS are the students fundamental understanding and abilities to utilize data science programming and tools to make data driven discoveries and develop user friendly and powerful data science applications, cross-cutting best practices for developing informative visualizations, application of supervised and unsupervised techniques for machine learning, and the ability to assess and optimize artificial intelligence solutions for real-world performance. Five new courses have been developed in support of the CBDS. Three of these courses, 1) Advanced Statistics for Machine Learning Methods: Statistical Principles of Machine Learning applied to biomedical data, and 2) Programing for Biomedical Data Science, and Data Visualization and Real-Time Analytics for precision medicine will be 3, 3, and 2 SCH didactic courses, respectively; the fourth course, will be Data Driven Leadership in Healthcare will specifically address the challenges in ethics and collaboration that applied biomedical data scientists will encounter. The last course, Practicum in Data Science will offer practical experience in biomedical data science.
For more information please contact Dr. Gelfond (Gelfond@uthscsa.edu) or Alex Machuca (Machuca@uthscs.edu). Website: https://iims.uthscsa.edu/ed_certificate_in_bds.html
Disclaimer: The CBDS program is currently pending approval by the Southern Association of Colleges and Schools Commission on Colleges.