Master of Science in Computer Science
The Master of Science in a computer science program at UA Little Rock reflects current trends in the computing discipline and provides students with a solid theoretical and practical foundation for careers in computing and/or advanced graduate studies. The curriculum centers on a core of courses covering major traditional areas of computer science: software engineering, operating systems, computer architecture, telecommunications and networking, and analysis of algorithms. It also allows students flexibility in acquiring in-depth knowledge of important areas of specialization through the selection of electives. Students may also elect one of three options (thesis, project, comprehensive exam) for satisfying the requirements for the master’s degree. The program is accessible to both day and evening students and lends itself to both full and part-time study.
The Department of Computer Science will appreciate applicants for the MS in Computer Science to be cognizant of the following dates:
For applications for the Fall semester: First notifications of decisions will be sent out on or after March 15 (of the preceding spring semester).
The department asks that all applications be submitted, and completed in full, by June 15.
For applications for the Spring semester: First notifications of decisions will be sent out on or after October 15 (of the preceding fall semester).
The department asks that all applications be submitted, and completed in full, by November 15.
The Department of Computer Science does not offer a full slate of graduate classes in the summer semester and therefore requests applicants not submit applications for the summer term.
For more information, contact Albert Baker Ph.D.
Doctor of Philosophy in Computer and Information Sciences
The Computer and Information Sciences Doctoral Program is housed in the Donaghey College of Science, Technology, Engineering, and Mathematics. This degree is designed to promote strong multidisciplinary collaborations across several computing disciplines whose bodies of knowledge influence and intertwine with each other. The following emphasis areas are offered:
- Computer Science – focusing on the application architecture whose integrated software systems support the data and functional needs of the enterprise across diverse computing networks.
- Information Science – focusing on the theory, applications, technologies, and systems that classify, manipulate, store, retrieve, and disseminate information.
- Information Quality – focusing on the theory, principles, models, and techniques for delivering information that is “fit for use”, an increasingly challenging task as organizations struggle with such issues as data architecture, identity resolution, data protection, and privacy.
For more information, contact John Talburt Ph.D.