Karl D Schubert

Karl D. Schubert serves as a Professor of Practice and Associate Director of the Data Science Program spanning the University of Arkansas College of Engineering, Sam M. Walton College of Business, and J. William Fulbright College of Arts & Sciences. With a PhD in Engineering from the University of Arkansas, he leads interdisciplinary initiatives connecting multiple academic colleges to develop comprehensive data science education pathways. His administrative roles include directing statewide data science program development and serving on Arkansas' Governor's Innovation Council.

• BS in Chemical Engineering from University of Arkansas
• MS in Chemical Engineering from University of Kentucky
• PhD in Engineering from University of Arkansas

Schubert's research focuses on data science and analytics, innovation methodologies, and interdisciplinary project-based learning. His work bridges academic theory with industry applications, particularly in creating educational frameworks that prepare students for real-world data challenges. He has developed statewide data science curriculum from high school through undergraduate levels, emphasizing practical applications across multiple domains including business, healthcare, and engineering.

Analysis of his recent publications reveals a strong trajectory toward building comprehensive data science education ecosystems, with emphasis on workforce development, interdisciplinary collaboration, and innovative teaching methodologies. His work increasingly focuses on creating pathways for underrepresented students in STEM fields while addressing industry needs for data-literate professionals.

• UofA College of Engineering Distinguished Alumni Award (2008)
• Fellow of the Institute of Engineering & Technology (IET) (2015)
• Charter member of University of Arkansas Academy of Computer Science and Computer Engineering (2017)
• Awarded multiple patents in storage systems architecture, data analysis methods, and touch screen technologies

Schubert actively secures substantial research funding, currently leading a $24M NSF EPSCoR grant initiative and a nearly $1M NSF grant focused on introducing innovation and data science to underserved STEM students. His grant portfolio demonstrates strong industry and government partnerships aimed at transforming data science education. He advises capstone projects and has established multiple endowed scholarships to support engineering students, particularly focusing on underrepresented populations.

As Associate Director of the Data Science Program, Schubert coordinates efforts across three major colleges at the University of Arkansas, working with faculty teams to develop the nation's first known interdisciplinary data science program spanning engineering, business, and arts & sciences. His work with the Arkansas Center for Data Science focuses on creating a cohesive educational pipeline from high school through undergraduate studies.