
About
Ty Tabernik serves as an Adjunct Professor in the School of Science, Technology, Engineering and Mathematics at Trevecca Nazarene University, contributing to the institution's STEM-focused academic programs.
His comprehensive educational qualifications include:
- Bachelor of Arts (B.A.) from Trevecca Nazarene University
- Master of Science in Information Technology (MSIT) from Purdue University
- Master of Business Administration (MBA) from Trevecca Nazarene University
- Doctor of Philosophy (Ph.D.) from Capella University
- Master of Health Informatics and Information Technology (MHIIT) from the University of Tennessee
- Master of Professional Studies from Middle Tennessee State University
- Master of Science in Computer Science and Quantitative Methods from Austin Peay State University
- Master of Science in Industrial Engineering from the University of Tennessee Knoxville
Dr. Tabernik's academic profile demonstrates deep interdisciplinary expertise across computing, engineering, and business domains. His research interests center on the integration of information technology systems with industrial processes and healthcare applications, emphasizing practical solutions for complex technical challenges. This multifaceted background enables him to develop curricula that bridges theoretical knowledge with real-world business and engineering contexts.
His teaching methodology likely incorporates cross-disciplinary perspectives, preparing students for evolving careers at the intersection of technology management, data systems, and operational efficiency within modern STEM industries.
Find Ty Tabernik elsewhere
Related Searches
You Might Also Like
Nancy KempMaryville College · Lecturer
James HiattTrevecca Nazarene University · Associate Professor- Jennifer CrummUniversity of North Texas Health Science Center · Assistant Professor
Aimee IsenbergTrevecca Nazarene University · Associate Professor
Scott CollinsTrevecca Nazarene University · Adjunct Professor
Joshua SmithTrevecca Nazarene University · Associate Professor