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.
Undergraduate | Bachelor of Science
B.S. in Computer Science | |
|---|---|
| Students enrolled in Kean’s Computer Science program gain a strong foundation in algorithms, programming, system design, and user-centered computing to prepare for careers in software engineering, research, and emerging technologies. |
B.S. in Computer Science | Information Systems | |
|---|---|
| This option bridges computing and business, equipping students to design, implement, and manage information systems that support data-driven decision-making and innovation. |
B.S. in Information Technology | |
|---|---|
| Develop the analytical and creative skills to design, manage, and optimize computing systems. The program prepares students for careers as IT consultants, network architects, and systems administrators in today’s technology-driven world. |
B.S. in Information Technology Cybersecurity Option | |
|---|---|
| Gain hands-on experience protecting data, networks, and systems from cyber threats. This option trains students to become skilled cybersecurity analysts and professionals ready to secure the digital future. |
B.S. in Computer Science | Cybersecurity | |
|---|---|
| The Cybersecurity option provides hands-on experience in identifying, analyzing, and defending against cyber threats to protect data, networks, and critical systems in a wide range of environments. |
B.S. in Computer Science | Data Science | |
|---|---|
| In this data-centric option, students learn to analyze, model, and visualize complex datasets, applying statistical methods and analytical tools to solve real-world problems. |
B.S. in Artificial Intelligence | |
|---|---|
| The first undergraduate Artificial Intelligence degree in New Jersey, preparing students to design intelligent systems, build autonomous technologies, and innovate in autonomous systems, trustworthy AI, and data-driven decision-making. |
Minor in Computer Science | |
|---|---|
| Students from any major can strengthen their technical and analytical skills by learning the fundamentals of programming, algorithms, and computational thinking to apply technology-driven solutions in their fields. |
Minor in Artificial Intelligence | |
|---|---|
| Open to all majors, this minor introduces the foundations of artificial intelligence, including machine learning, neural networks, and intelligent systems, preparing students to develop and apply AI tools and methods in a wide range of areas. |
Minor in Data Science | |
|---|---|
| Open to all majors, this minor provides essential skills in data analytics, modeling, and visualization, enabling students to turn data into insight and support better decision making in their chosen discipline. |
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.
Graduate | Master of Science
B.S./M.S. in Computer Science (5-Year Program) | |
|---|---|
| This accelerated five-year program allows motivated students to earn both a bachelor’s and master’s degree in Computer Science, gaining advanced skills in AI, cybersecurity, software and system design. |
M.S. in Computer Science | |
|---|---|
| Kean’s Master of Science in Computer Science program deepens students’ technical expertise in areas such as artificial intelligence, cybersecurity, data science, and software engineering, preparing graduates to lead innovation in academia, industry, and government. |
Graduate | Ph.D.
Ph.D. in Computer Science | |
|---|---|
| The Doctor of Philosophy in Computer Science program at Kean is designed for scholars and researchers who seek to advance the frontiers of computing through original research in AI, machine learning, cybersecurity, data science, and human-centered computing. |