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MS in Data Science Faculty

Michael McCarthy

Michael McCarthy, PhD

Director of MS in Data Science
Assistant Professor

Program: MS in Data Science

Read more about Michael McCarthy, PhD

Professor McCarthy received his BS from the United States Military Academy at West Point in Geographic Information Systems (GIS). He earned his MA and PhD in Geography from the University of North Carolina at Greensboro. His thesis quantitatively analyzed the airline industry by metropolitan area. His doctoral dissertation was a quantitative and qualitative analysis of creative workers in the United States.

Upon receiving his doctorate, Professor McCarthy served as an analyst for a Veterans Affairs Medical Center. He performed quantitative and qualitative analysis to improve inpatient and outpatient clinic flow, quantitative demographic analysis for strategic planning, coached and lead Lean Six Sigma projects, and served as an innovation specialist.

Prior to graduate school, Professor McCarthy served in the U.S. Army from 2000 to 2007 as an aviation officer and Blackhawk pilot. He concluded his Army tenure serving at Training and Doctrine Command where he was part of team analyzing future warfare and global trends that would affect the United States and its military in the next five decades.

Adjunct Professors

Ernest Bonat, P h D

Ernest Bonat, PhD

Adjunct Faculty

Program: MS in Data Science

Read more about Ernest Bonat, PhD

Dr. Ernest Bonat was born and raised in Havana, Cuba and studied in Kiev, Ukraine for 9 years and finished the following degrees at National Technical University of Ukraine (KPI): BS, MS (Electrical Engineering) and Ph.D. in Computer Sciences and Engineering.

Dr. Bonat’s computer programming career started in 1993 developing database business applications using Microsoft Visual Basic 3.0, Windows 3.11 and Access 2.0. Since then, he has decades of experience designing, developing, testing, and deploying database business applications and data science projects using the following programming languages, database engines and tools: C, C++, VB 6.0, HTML, CSS, JavaScript, XML, JSON, Python, Python Data Ecosystem, PHP, Java EE, VBScript, VBA, VB.NET, C#.NET, SQL 99, SQL:2003, T-SQL, PL/SQL, Access, SQL Server, Oracle, MySQL, PostgreSQL, Visual Studio .NET, Eclipse ad NetBeans IDE.

Dr. Bonat has considerable teaching experience. He teaches computer science and business statistics courses for Portland Community College, Mount Hood Community College, University of the People, and the University of Phoenix. In his spare time, he conducts complex data analysis for clients using Python programming language for fun.

Gregory Fulkerson

Gregory Fulkerson, PhD

Adjunct Faculty

Program: MS in Data Science

Read more about Gregory Fulkerson, PhD

Dr. Fulkerson has extensive expertise in research and analysis techniques that include quantitative statistics, qualitative analysis, textual analysis, and big data techniques. He has experience with Excel, IBM SPSS Statistics, IBM SPSS Modeler, SAS, PSPP, R, RapidMiner, Atlas Ti, Trackur, InsightMaker, and AMOS analysis software packages. His research has been published in peer reviewed academic journals, as well as authored books, and edited book volumes. Dr. Fulkerson was a featured guest speaker at the Power of SUNY Conference on Big Data, held in Manhattan, New York. Dr. Fulkerson is also an Associate Professor of Sociology at the State University of New York at Oneonta. His applied research interests are in urban-rural dynamics, and he is co-editing a book series on Urban-Rural Dynamics with Lexington Books.

Joshua White

Joshua White, PhD

Adjunct Faculty

Program: MS in Data Science

Read more about Joshua White, PhD

Joshua White received his PhD in Engineering Science from Clarkson University, and his MS and BS degrees in Telecommunications from SUNYIT.

Dr. White has 16 years of experience working with the federal and state government in data science and cyber security. His data science related activities include terrorism studies, high-speed network and protocol analysis, cryptocurrency and cryptanalysis. Dr. White's primary research interest area is actor identification, tracking, analysis, and classification in large unstructured datasets.

His teaching experience ranges from telecommunications transmission technologies and graph analytics to business intelligence. He has also built a number of real-time protocol analyzers such as LibSFCap an AFRL tool which is capable of dissecting SONET/ATM/SDM protocols at 40Gbps. Dr. White currently maintains Social Network Datasets from over 40 providers for academic research which include up to 6 years of messages and profiles totaling over 1 Trillion.

To learn more about faculty members teaching in Utica College’s online MS in Data Science program, request more information or call us today at 315.732.2640 or toll-free at 866.295.3106 to speak with a program manager.