Computing, Informatics, and Data Science
Shaping the Future of Technology
Artificial intelligence is transforming how software is designed, how data is interpreted, and how decisions are made. The Computer Science program in the Department of Computing, Informatics, and Data Science (CIDS) blends core computing principles with emerging AI-driven technologies to prepare students for today’s evolving tech workforce.
With a strong foundation in programming, algorithms, and systems, students explore topics such as machine learning, data analysis, and intelligent applications while developing industry-critical thinking and problem-solving skills. Designed for flexibility, the program empowers learners to apply computing and AI concepts ethically and effectively in real‑world settings.
Graduate Programs
We also offer graduate degrees in the following areas. For admission to a graduate program or questions about admission criteria, please visit the School of Graduate Studies. An advisor will be assigned once admitted to the program.
of recent graduates were employed in a related field within one year of graduation.
Leading Towards Success
Our knowledgeable faculty will lead you to successful employment after graduation. Since 2015, graduate job placement rate has increased by approximately three percent.
POST-GRADUATION OUTCOMESEducational Distinctives
We provide specially designed labs to enhance student learning, help faculty and students in their research, and facilitate industry collaboration. Features include:
- Student Centered Cybersecurity Laboratory
- Visualization Laboratory, including state-of-the-art 2D and 3D visualization tools with artificial intelligence computing resources
- Autonomous Systems Laboratory is a cutting-edge research hub equipped with advanced tools for projects in Brain-Computer Interfaces, Artificial Intelligence, and Cloud Computing, featuring Brain-Computer Interface headsets, workstations, a NVIDIA GPU server, tablets, smartphones, VR goggles, drones, and a Nao6 humanoid robot for immersive and autonomous system research
- Coursework in Cloud Computing, Big Data, Artificial Intelligence, Agile Development, and modern software tools and lab spac available in both undergraduate and graduate programs
- The Statistical Consulting and Research Center, providing students with an opportunity to apply what they are learning in the classroom
