Welcome to the
UA Little Rock Information Quality Graduate Program!
Information Quality (IQ) is an emerging discipline concerned with
- Maximizing the value of an organization’s information assets while also minimizing risk, and
- Assuring that the information products produced by the organization will create value for the customers who use them.
The Information Quality (IQ) Graduate Program at the University of Arkansas at Little Rock (UA Little Rock) is designed to prepare students to pursue a variety of IQ careers such as Chief Data Officer, Information Quality Manager, Director of Data Governance, Data Steward, Information Quality Analyst, and Data Scientist, or to pursue doctoral-level graduate studies in preparation for information quality research and instructional roles.
Established in 2006 by the UA Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality (MIT CDOIQ) Program, the UA Little Rock Information Quality Graduate Program is dedicated to providing a state of the art curriculum for information quality education, contributing new ideas to the information quality body of knowledge, and establishing partnerships with the industry, government, and professional societies.
The UA Little Rock Information Quality Graduate Program is offered through the Department of Information Science. The program is designed to meet the growing demand for qualified professionals with graduate-level degrees who
- Are able to strategically manage enterprise data and information assets to achieve business goals, create business value, and gain competitive advantage
- Are well-versed in the concepts, principles, tools, and models essential in defining, measuring, analyzing, and improving information quality
- Can develop information quality strategies, policies, and programs to support an organization’s operational, tactical, and strategic needs
- Understand the interrelationships between information quality and other key information issues such as data privacy and protection, enterprise architecture, data mining, data science, and data integration processes such as entity resolution, master data management, and customer relationship management
- Are well-grounded in Information Science Theory and its practical application to database systems, systems analysis, and information visualization
- Can create a learning environment that promotes critical thinking, communication skills, and project management
Students may choose from three different graduate degree options:
- Graduate Certificate in Information Quality (12 credit hours)
- Master of Science in Information Quality (33 credit hours)
- PhD in Integrated Computing with an Emphasis in Information Quality (75 credit hours)
We hope you find this website helpful in learning more about the Information Quality Program options.