The Department of Information and Computer Sciences (ICS) at the University of Hawai‘i at Mānoa focuses on study of the description and representation of information, and on the theory, design, analysis, implementation, and application of algorithmic processes that transform information. This discipline draws on a solid foundation in mathematics, computer science theory, scientific principles, and experience gained through practice as it applies to software engineering and research.
Students are challenged in a problem-based learning environment that allows them to develop their knowledge in such areas as algorithms, artificial intelligence, computer security, database systems, data science, high performance computing, human-computer interaction, information assurance, machine learning, networking, and software engineering. If you choose to study in this field you will learn to develop and use computer systems that can be applied to all professions.
The ICS department offers B.A. and B.S. degrees in Computer Science at the undergraduate level. In addition to the general undergraduate degrees, we also offer two special-interest tracks, one in Data Science and the other in Security Science. In collaboration with the Hawaii Data Science Institute, we offer a Certificate in Data Science. In collaboration with the Academy for Creative Media, we offer a Certificate in Creative Computational Media. At the graduate level, we offer an M.S. degree and a Bachelors-to-Masters (BAM) program allowing students who complete certain undergraduate courses to obtain the M.S. within one year after graduation. We offer the Ph.D. degree as the only Research-1 doctorate-granting Computer Science program in the state of Hawaii.
The ICS Department is primarily located on the third floor of the Pacific Ocean Science and Technology (POST) Building on the Manoa campus. The POST facility contains the main office (Room 317), most Computer Science faculty offices, two large teaching/learning labs, a commons called ICSpace (Room 318B), and research labs. The Laboratory for Advanced Visualization and Applications (LAVA) is located in Keller Hall (Room 102).