Undergraduate and Graduate Academics
Welcome to Computer Science and Technology at Kean University
The Department of Computer Science at Kean University prepares students to lead in today's intelligent and connected world. Through advanced coursework, research, and hands-on experience, students gain the skills and creativity to drive innovation and shape the future of technology.
Undergraduate
Kean University offers a forward-looking Computer Science undergraduate program designed to prepare students for the rapidly evolving technology landscape. With access to state-of-the-art computing labs and collaborative research experiences, students explore innovative fields such as artificial intelligence, data science, cybersecurity, mobile sensing, natural language processing (NLP), large language models (LLMs), cloud-edge computing, and software engineering.
Our curriculum emphasizes both theory and hands-on practice, empowering students to design intelligent systems, analyze complex data, and develop secure and efficient computing solutions. Students can tailor their studies through specialized options, including Information Systems, Cybersecurity, Data Science, and Artificial Intelligence.
Kean also offers an accelerated B.S./M.S. 5-year program, enabling motivated students to earn both undergraduate and graduate degrees efficiently while gaining valuable co-op and internship experience in leading industries and research labs.
Graduate
The graduate programs in Computer Science at Kean University provide advanced study and research opportunities in today’s most dynamic areas of computing. Students may pursue a Master of Science (M.S.) or a Doctor of Philosophy (Ph.D.) in Computer Science, specializing in machine learning, artificial intelligence, cybersecurity, data science, software engineering, mobile sensing, computer vision, natural language processing (NLP), and large language models (LLMs).
Graduate students work closely with expert faculty mentors and engage in cutting-edge research projects that connect computational theory with real-world innovation. The curriculum combines foundational knowledge with specialized electives, preparing graduates for leadership roles in academia, industry, and government, and for advancing the frontiers of AI-powered advanced computing, intelligent communication, and secure, data-driven systems.