Welcome to the Online Master’s in Information Systems program at UMBC
Our 100% Online Master’s program has the faculty, the tools, and the resources to help you achieve your personal and professional goals. We offer hands-on courses covering all the major technologies used in the field of Information Systems.
You will receive high quality instruction on cutting-edge topics that will help you achieve your career goals. UMBC is a “Research 1” institution that is known for its teaching excellence. Our instructors for the Online Master’s program include tenure track faculty informed by research expertise, highly experienced instructors with doctoral qualifications, and faculty who currently work in the technology industry. We take a student-centered approach to instruction, with a clear focus on you and your learning.
We offer a large selection of electives which allow students to customize their path on a schedule that works best for them. We offer tracks in Artificial Intelligence, Cybersecurity, Data Science and UX Design. An added bonus is that our students are able to complete two tracks concurrently, if they like. This semester we are excited to begin offering certificates. The certificates are perfect for those looking to learn a specific skill set in a short amount of time. The Foundations of Information Systems, for example, provides a high level overview for those looking to change careers. It is never too late to rethink your career and professional goals. In these courses you will work alongside mid- and late-career professionals as you learn new skills and gain new experiences. You will be able to earn a certificate in as little as six months and there is the option to work on multiple certificates concurrently. You do not need to complete a Master’s degree to earn a certificate, though some students may choose to go on and do so. The choice is yours! Whichever path you decide to take, we look forward to helping you advance your career and achieve your goals.
Please contact me at any time if you’d like to learn more about our program and opportunities.
Dr. James Foulds (Jimmy), Associate Professor
Graduate Program Director
Headshot Photo Credit
Marlayna Demond ’11
Meet the Information Systems Faculty
Many of our full-time, on-campus faculty also teach in the online program, including Dr. Vandana Janeja, the Chair of the Department of Information Systems. Take a look at some of our faculty below.
Michael Brown, Ph.D.
Professor of Practice – Online IS
Dr. Brown is an internationally published researcher in the fields of Artificial Intelligence (AI) and Software Engineering. He has applied advanced AI methods to solve problems in biology, finance, software testing, military purposes and others. He has assisted more than 20 students in conducting and publishing research. He has published over 30 research papers. In 2019 he was awarded a Fulbright grant to do research abroad at General Tadeusz Kosciuszko Land Forces Military University in Wroclaw Poland.
C. Augusto Casas, Ph.D.
Dr. Casas has over a decade of higher education teaching experience in the fields of information systems and computer science. His teaching philosophy focuses on applying active learning techniques to help students accomplish their learning goals and the development of effective online teaching methods. Dr. Casas is a student-centered instructor that brings field experience to the online classroom. Prior to becoming a professor, Dr. Casas worked in industry designing and developing Supervisory Control and Data Acquisition (SCADA) systems for major oil and power utility companies in the Americas, the Middle East, and Southeast Asia. He has conducted research in financial technology (FinTech) and received his Ph.D. degree from Nova Southeastern University and an MBA from the University of Connecticut.
Zhiyuan Chen, Ph.D.
Professor & Assoc. Chair for Academic Affairs
My research covers following areas: Privacy preserving data mining and data management. I am interested in algorithms for preserving privacy of data and at the same time allows accurate analysis of the data. Data Exploration and Navigation. Database users often find it difficult to find useful information from databases. Their queries often return too many irrelevant answers. I am interested in using data mining, navigation, and information retrieval techniques to help user narrow down their scope of search and quickly locate relevant answers. Semantic-based Search and Data Integration Using Semantic Networks. My research develops a technique that uses semantic network to capture relationships between data objects and helps users find related information. The semantic network can also be used in data integration to find relevant data sets to integrate.
James Foulds, Ph.D.
Associate Professor, Graduate Program Director
Dr. James Foulds (Jimmy) is an Associate Professor and the Graduate Program Director of the Online MS program for the Department of Information Systems at UMBC. His research aims to improve the role of artificial intelligence in society regarding fairness and privacy, and to promote the practice of computational social science. Supporting this work, he earned the NSF CAREER Award (2021). He earned his Ph.D. in computer science at the University of California, Irvine, and he was a postdoctoral scholar at the University of California, Santa Cruz, followed by the University of California, San Diego. His master’s and bachelor’s degrees were earned with first-class honours at the University of Waikato, New Zealand, where he also contributed to the Weka data mining system. He is currently writing the upcoming 5th edition of the popular Witten et al. Data Mining textbook.
Aryya Gangopadhyay, Ph.D.
Aryya Gangopadhyay is a professor and the chair of UMBC’s Information Systems Department. He has been a faculty member at UMBC since 1997. His recent courses include Computational Methods in Information Systems Research, Introduction to Data Mining, and Database Management Systems.
Dr. Gangopadhyay’s research interests are in the areas of databases and data mining. Currently, he is focused on privacy preserving data mining, spatio-temporal data mining, and data mining for health informatics. His research has been funded by grants from NSF, NIST, US Department of Education, Maryland Department of Transportation, and other agencies. Dr. Gangopadhyay has published five books and nearly 100 research articles. He holds a Ph.D. in Computer Information Systems from Rutgers University.
Vandana Janeja, Ph.D.
Professor & Chair
My area of interest is Data mining specifically anomaly detection and spatio-temporal data mining. Overall, my work has focused on advancing theoretical research motivated by practical applications. As a result, I have had the opportunity to participate in the various aspects of high impact and national interest projects with various government agencies and private organizations. My research has always resulted in strong proof of concepts in real world applications with underlying strong theoretical foundations. Most of this work has been possible due to the diligent work of my students. Some of my current students and their ongoing research projects are highlighted in the following. View the publications list for more details.
George Karabatis, Ph.D.
Professor & Liaison for Programmatic Innovations
George Karabatis is an Associate Professor of Information Systems at the University of Maryland, Baltimore County (UMBC). He holds degrees in Computer Science (Ph.D. and M.S.) and Mathematics (B.S.). His research interests are on various aspects of database systems, including semantic information integration, and applications for mobile handheld devices. Before joining UMBC he was a Research Scientist at Telcordia Technologies (formerly Bellcore) working on database related research for the telecom industry. His research work has been published in journals (such as Journal of Database Management, Decision Support Systems, Information Systems Frontier, Distributed and Parallel Databases, IEEE Computer), conference proceedings and book chapters.
Anita Komlodi, Ph.D.
Dr. Komlodi’s research interests fall in the area of Human-Centered Computing. The first area of concentration is at the intersection of Human-Centered Computing and Information Retrieval/Information Behavior and focuses on the study of Human Information Behavior and the design of user interfaces for information systems. Dr. Komlodi is also interested in the needs of diverse user groups go technology: age, gender, and cultural differences in technology interactions. Dr. Komlodi’s teaching reflects these interests in courses on Human-Centered Computing, Web Design, and User Interfaces for Information Retrieval and Visualization.
Ant Ozok, Ph.D.
My areas of research interest include usability testing, user preferences and Human Computer Interaction (HCI) applications in the domains of World-Wide-Web, mobile computing, electronic and mobile commerce, online communities, and health care. My recent publications appeared in Behaviour and Information Technology, International Journal of Human Computer Interaction, Journal of Organizational Computing and Electronic Commerce, and the Human Computer Interaction Handbook Second Edition. I am currently on the Editorial Board of International Journal of Human Computer Interaction, and Associate Editor of International Journal of Electronic Financeand Electronic Government: An International Journal. My recently funded research is focused on the topics including technology perceptions among middle school students with a gender emphasis supported by the National Science Foundation (NSF) and investigation of technology-supported medication adherence among the elderly population supported by Erickson Retirement Communities, among others.
UMBC Online Master’s in Information Systems
Our Vision is to expand our role as global leaders at the intersection of information, technology, and people, by promoting inclusive student-centered teaching, reimagining life-long learning, advancing innovative interdisciplinary research, and championing civic engagement.
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