Data Analytics Faculty and Advisors
UMUC's data analytics programs are designed with input from industry experts and leading companies.
UMUC's data analytics curriculum is crafted, reviewed and updated by a team of advisors and industry experts to ensure what you learn aligns with trends and technologies being used in the workplace today.
Data Analytics Program Development Team
Michael Evanchik, PhD
Data Analytics Program Development Lead and Associate Dean at UMUC's Graduate School
Prior to joining UMUC, Michael Evanchik was a faculty member at George Mason University in the Graduate Business Institute, where he directed graduate accounting and tax programs. Prior to that, he served in the Air Force for 20 years as an engineer, project manager, faculty member in the Air Force Academy and speechwriter.
Evanchik earned a PhD from University of Washington in accounting and finance, a master's in management from Rensselaer Polytechnic Institute, a master's in systems management from University of Southern California and a bachelor's in aeronautical engineering from Rensselaer Polytechnic Institute.
Carrie Beam, PhD
Data Analytics Program Developer and Associate Professor at UMUC's Graduate School
Carrie Beam has taught at UMUC since 2010. Her professional experience includes consulting in the fields of data mining, performance measures and decision support for the past 15 years.
She earned a PhD in industrial engineering and operations research from University of California, Berkeley, and a bachelor's in civil engineering and operations research from Princeton University.
Steve Knode, PhD
Data Analytics Program Developer and Director of the Chief Information Office Program at UMUC's Graduate School
Steve Knode is a retired Air Force officer who served 20 years in a variety of analytical and decision-making positions. He has an extensive background in artificial intelligence, emerging technologies, intelligent agents, virtual reality, decision support systems, quantitative methods and decision making.
Knode earned a PhD in operations research management from Syracuse University, a master's in industrial management from University of North Dakota and a bachelor's in mathematics from Duke University.
Bahram Meyssami, PhD
Data Analytics Program Developer and Senior Director in the Office of Analytics at UMUC
In addition to directing UMUC's data analysis initiatives, Bahram Meyssami teaches decision support systems and business intelligence. His past research and commercial experience has focused on decision support and expert systems in various engineering and enterprise systems. He has more than 22 years of experience leading software and technology development at multiple commercial organizations.
Meyssami earned a PhD, master's and bachelor's in engineering with artificial intelligence applications from University of Maryland College Park.
Stephen Penn, DM
Data Analytics Program Developer at UMUC and Data Mining Specialist
Stephen Penn has worked in information technology for more than 20 years, specializing in database development and analytics. His experience in analytics includes projects focused on student achievement in higher education, insurance fraud and workforce optimization.
Penn earned a Doctor of Management from UMUC, where he wrote his dissertation on data-driven decision making. He earned an MBA from Frostburg State University and bachelor's degrees in math and Russian from University of Texas at Arlington. He is certified in project management and earned value management.
Data Analytics Advisors
UMUC has brought together top data analytics experts from leading companies in such industries as government contracting, technology and retail sales. Our advisors work for companies including:
- Booz Allen Hamilton
Jay Liebowitz, DSc
UMUC Data Analytics Program Advisor
Jay Liebowitz was ranked one of the top 10 knowledge management researchers and practitioners out of 11,000 worldwide and was ranked No. 2 in knowledge management strategy worldwide by the Journal of Knowledge Management.
Jay Liebowitz, DSc
UMUC Data Analytics Program Advisor
Jay Liebowitz was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide and was ranked No. 2 in knowledge management strategy worldwide by the Journal of Knowledge Management.
He previously served as a professor in the Carey Business School at Johns Hopkins University. He was the founding program director for Hopkins' Graduate Certificate in Competitive Intelligence and the capstone director of the MS-Information and Telecommunications Systems for Business Program, whereby he engaged over 30 organizations in industry, government and nonprofits in capstone projects.
Prior to joining Hopkins, Liebowitz was the first knowledge management officer at NASA Goddard Space Flight Center. Before NASA, he was the Robert W. Deutsch Distinguished Professor of Information Systems at University of Maryland Baltimore County, professor of management science at George Washington University and chair of artificial intelligence at the U.S. Army War College.
Liebowitz is the founder and editor-in-chief of Expert Systems with Applications: An International Journal (published by Elsevier), which has about 1,600 downloads per day worldwide. He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow and Computer Educator of the Year (International Association for Computer Information Systems).
He has published more than 40 books and a myriad of journal articles on knowledge management, intelligent systems and IT management. He has lectured and consulted worldwide.
In the News
Read articles on data analytics and big data featuring UMUC faculty and program advisors.
UMUC's Michael Evanchik gives GovLoop readers five tips about educating and training the next generation of data analysts.
Decision-makers should base judgments on a combination of analytics and intuition, says UMUC's Jay Liebowitz in this article for SAS's Knowledge Exchange.
UMUC's Jay Liebowitz discusses the challenges in hiring data scientists with the technical knowledge and business know-how to leverage big data into insights.
Read an excerpt from the new book, "Big Data and Business Analytics," edited by UMUC's Jay Liebowitz and written by Paul Kent, Radhika Kulkarni and Udo Sglavo.