Department of Information Systems and Decision Sciences
Ojoung Kwon, Chair
Peters Business Building, Room 287
The Department of Information Systems and Decision Sciences prepares students for the rapidly growing fields of Information Systems and Technology and Data Analytics for Decision-Making. Producing new intelligence from raw data, collected by computer-based information systems, can help businesses enhance products and services, and organizations to meet their strategic goals. Computer-based data analysis and information-sharing lead to better, more informed decisions. In addition to traditional methods of classroom instruction and guest speakers, students in these options are exposed through hands-on experiences to new developments in computer technology, software, and applications.
Computer Information Systems (CIS) is the practice of developing and maintaining systems to support operations, management, and decision-making. It combines technology, people, and business organizations in a single field. With an enterprise-wide view, an information system can collect, store, process, analyze, and distribute information and make it available to all users across functional departments and across organizations to support their business operation and decision-making processes. Topics covered in this option include computer programming, database design, systems analysis and design, computer networks, project management, cloud computing, cybersecurity, mobile and Web application development, business intelligence, and artificial intelligence.
Data Analytics (DA) uses powerful tools and techniques to derive meaning and value from data. As companies are becoming more data-driven, data analytics is now being viewed as an essential area of expertise and as a distinguishable career path. Students learn to analyze data and find patterns to enhance business effectiveness and problem-solving. These skills are essential to make informed decisions to drive business forward and achieve strategic goals. Students learn to become problem-solvers and skilled to analyze data that unlocks business opportunities and solutions while keeping the “big picture” in mind. Critical thinking and effective communication are complementary skills developed in this option. Topics covered in this option include decision analysis, data mining, modeling, prediction, artificial intelligence, and machine learning.