Degree Details
The Computer and Information Sciences (CIS) Ph.D. program is an interdisciplinary area of study where innovation meets exploration. The Information Quality (IQ) track provides a state-of-the-art curriculum that contributes new ideas to the information quality body of knowledge. The track also establishes partnerships with the industry, government, and professional societies.
IQ is the discipline focused on ensuring data is reliable, accessible, secure, and valuable. It is concerned with maximizing the value and minimizing the risk of an organization’s information assets, and assuring the information products create value for the customers who use them.
Graduates are prepared to pursue a variety of careers such as chief data officer, director of data governance, and academic research and teaching roles.
Request More InformationAt a Glance
| Degree: | Ph.D. in Computer and Information Sciences – Information Quality Track |
|---|---|
| Hours: | 75 |
| Format: | In-Person or Online |
| College: | Donaghey College of Science, Technology, Engineering, and Mathematics (DCSTEM) |
Admission Requirements
Applicants for the Computer and Information Sciences program must meet the requirements of the UA Little Rock Graduate School in addition to the following criteria:
- A bachelor’s degree or higher from an institutionally or regionally accredited institution. Students whose degree(s) are in an appropriate scientific discipline, such as engineering, mathematics, computer science, or a technology area, will be the most prepared to enter and complete this program. Students should have an overall undergraduate GPA of at least 3.0 (4.0 scale) for their last 60 credit hours.
- GRE test scores are taken within five years of application. The desired combined quantitative and verbal score on the GRE is 301 or above (on a 336 scale), with minimum scores of 142 and 144 on the verbal and quantitative sections, respectively. Computer Science and Information Science tracks have an additional minimum score requirement of 156 for the quantitative section. In addition, applicants should demonstrate their ability to communicate complex ideas clearly and effectively either through a strong score on the GRE Analytical Writing Component (e.g., 3.0 or above on a 6.0 scale) or through samples of their written work.
- Three (3) letters of recommendation; official college transcripts including grades and curriculum for undergraduate and (if applicable) graduate studies
- Written statement by the applicant regarding the reasons (e.g., interests, relevant experience, and goals) why he or she should be considered for this Ph.D. program
- Resume detailing any professional work experience, published papers, or presentations
Note: All application materials must be submitted directly to the Graduate School. View additional seminar and dissertation requirements.
Additional Requirements: Information Quality Track
Seating Availability: Admission may be denied or deferred if the track is at full enrollment. Full enrollment is reached when the Track Coordinator determines there are not enough available faculty, financial support, or other resources to adequately accommodate additional students in the track.
Steps to Apply