School of Interdisciplinary Data Science at UToledo
"Explore the School of Interdisciplinary Data Science at UToledo, focused on educating students in cutting-edge data analytical methods and building a hub for data science programs. Learn about the vision, mission, programs, advisory board, and faculty involved in this innovative initiative."
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Presentation Transcript
School of Interdisciplinary Data Science Marc Seigar Dean, College of Natural Sciences and Mathematics
Proposal Proposed School of Interdisciplinary Data Science (SIDS) Hub for data science programs and activity at UToledo B.S. in Data Science Working on a new M.S. in Data Science
Vision Innovate new means of understanding and analyzing data Innovate and apply cutting-edge data analytical methods to diverse questions Focus on educational programs Bring together an interdisciplinary group of faculty from several colleges and departments
Mission The School of Interdisciplinary Data Science will develop approaches to use data in modern society to run current and future programs in data science Educate students so they learn the entire spectrum of data science methods from data collection through interrogation and analysis, visualization, and communication.
Programs overseen B.S. in Data Science All future certificates in Data Science, both undergraduate and graduate Future M.S. in Data Science
Advisory Board Dr. William Kalies, Director Dr. Qian Chen, Department of Biological Sciences Dr. Timothy Mueser, Department of Chemistry and Biochemistry Dr. Song Qian, Department of Environmental Science Dr. Rong Liu, Department of Mathematics and Statistics Dr. Lian Cheng, Department of Electrical Engineering and Computer Science Dr. David Lilley, Criminal Justice Program Dr. John Plenefisch, Associate Dean, College of NSM
Open to anyone who wants a joint appointment The following faculty will be part of this School from the outset: Dr. William Kalies, Director Dr. David Lilley Dr. Song Qian Dr. Rong Liu Dr. Ahmad Javaid Dr. Liang Cheng Dr. Ray Hixon
Feedback from EAB Their general comment: When you have an in-demand program, without the faculty to support it, having an interdisciplinary school to house the program is likely the best way forward.
