The Graduate Certificate in Information Quality is a 12-credit hour (two semester) program designed to provide individuals with a focused collection of coursework in the information quality area. The certificate program is offered both on-campus and online. The program is designed for post-baccalaureate students and working professionals who are interested in moving into information quality leadership roles within their organizations or in preparation for entering master’s programs.
All of the required coursework counts toward the Master of Science in Information Quality.
Our program is designed to help students achieve the following outcomes by the time they graduate:
- Graduates will possess the knowledge, skills, and perspective needed to work on the information quality problems facing today’s organizations.
- Graduates will have the professional skills (communication, interpersonal, team, etc.) needed to assume demanding information quality roles in a variety of settings (academia, government, and industry).
- Instruction by highly qualified doctoral-level faculty with extensive experience in the field
- Convenient evening classes on the UA Little Rock campus
- All courses required to complete the program are offered online via live webcast
- Networking opportunities with other career professionals in the program
- Candidates who have a background in computer programming, database concepts, and applied statistics or who have professional experience in any information quality role will be the most prepared to enter and successfully complete the certificate program.
- Bachelor’s degree from an accredited institution with an overall GPA of at least 3.0.
- Completion of any remedial coursework that may be specified by the department for the certificate program. Students seeking regular admission to the certificate program are expected to have completed (with a grade of B or better in each course) course work or to have professional experience equivalent to the following UA Little Rock courses: IFSC 2300 Object-oriented Technology; IFSC 3320 Database Concepts; STAT 2350 Introduction to Statistical Methods