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Computer Science

The Department of Computer Science at UCA is the second largest computer science department in Arkansas. Our mission is to serve the region, state, and nation by providing high quality programs in computer science and engineering. Our department is recognized for its high standards of education, cutting-edge research, state-of-the-art facilities, award-winning faculty, and dedicated staff.

We offer programs of study leading to the Bachelor of Science in Computer Science, the Bachelor of Science in Computer Engineering, the Bachelor of Science in Cybersecurity, the Master of Science in Computer Science, a concentration in Data Science, and a minor in Computer Science.

More information about us can be obtained by exploring this website, visiting our Facebook page, contacting the department at (501) 450-3401, or contacting the chair by email at ecelebi@uca.edu.

Bear Facts About the Department

  • We have about 360 students, making us the fourth largest department in UCA and second largest Computer Science department in the state.
  • We have 15 full-time faculty members and 2 full-time staff members.
  • We offer nearly 30 classes each Fall/Spring semester and about 10 classes each Summer.
  • Our BS in Computer Science program started in 1980. The program has been accredited by the Computing Accreditation Commission of ABET, http://www.abet.org, since 2006.
  • Thanks to our central location in the state and close proximity to the state capital, we have numerous IT employers around us. These companies provide our students with internship and employment opportunities. Our graduates have also taken jobs at internationally recognized companies such as Amazon, Apple, Expedia, FedEx, HP, Intel, LinkedIn, Lockheed Martin, Microsoft, Pfizer, and Verizon.
  • We are one of the most research active departments in UCA. Our faculty brings a sizeable percentage of UCA’s annual federal research funding.
  • We have one of the few educational Cyber Range’s in the US.
  • We have recently purchased a supercomputer using an NSF MRI grant.