Artificial Intelligence and Data Science Track
(online and face to face)
Program Overview
Looking for a career change or new skills to stay competitive? The Graduate Certificate (GCERT) in Applied Computing is a flexible, 15-credit online-first program that equips students with practical, career-focused skills in AI and data science. Emphasizing real-world applications, coursework tackles challenges from diverse fields including healthcare, environmental science, digital marketing, and cybersecurity.
Program Details
Admissions Requirements
To be eligible for the Graduate Certificate in Applied Computing:
- Applicants must demonstrate foundational programming experience in a primary modern language. Prior programming experience ensures that all incoming students have essential coding skills to engage in the program’s applied computing coursework successfully. The curriculum builds upon this foundational knowledge with hands-on Python training focused on real-world AI and Data Science applications. This includes:
- Completion of an introductory programming course in Python or Java at an accredited two or four-year college or university. Options available at UH include ICS 110P, ICS 111, and ICS 211. Or
- At least three years of work or project experience that reflects competency in Python or Java.
- A Bachelor’s degree with a cumulative GPA of at least 3.0 (on a 4.0 scale)
- Statement of Purpose outlining career goals and motivation. Please include details or evidence of relevant Python and Java programming.
Required Courses
Fall Semester
- ICS 601: Applied Computing Industry Seminar (3 credits)
- ICS 603: Applied Computing Fundamentals(3 credits)
Spring Semester
- ICS 604: Applied Data Science (3 credits)
- ICS 605: Applied AI (3 credits)
Summer Semester
- ICS 609: Applied Computing Internship (3 credits)
Tuition
$650 per credit for Resident and online students
$1,402 per credit for Non-resident students (face to face)
Learn from Leaders in Tech Innovation
Behind every great program is a great team. Our faculty combine cutting-edge research with hands-on experience to provide you with future-ready AI skills.
Dr. Guylaine Poisson
Dr. Guylaine Poisson is a dedicated educator and researcher in the field of bioinformatics, currently Chair of the Information and Computer Sciences (ICS) Department at the University of Hawaiʻi at Mānoa. Her efforts have helped place the university at the forefront of bioinformatics education. She joined the Mānoa faculty in 2005 from Montreal, Canada—where she earned her Ph.D. in Cognitive Computer Science at the University of Quebec in Montreal. Dr. Guylaine Poisson leads the development and direction of the University of Hawai‘i’s innovative AI and Data Science programs, including the new Graduate Certificate in Applied Computing and the Professional Master’s in Computer Science with a focus on AI and Data Science. With a strong commitment to interdisciplinary learning, ethical AI, and accessible education, Dr. Poisson brings decades of experience in applied computing, higher education, and academic leadership.
Dr. Mahdi Belcaid
Dr. Huaijin (George) Chen
Huaijin Chen is an Assistant Professor of Computer Science at the University of Hawaiʻi at Mānoa, where he directs the Computational Imaging and Robotic Perception (CIRP) Lab. He earned his Ph.D. in Electrical and Computer Engineering from Rice University in 2019 and a B.S. in Imaging Science from the Rochester Institute of Technology. Before academia, he worked at companies like Vayu Robotics, NVIDIA, and IBM. He has authored over 15 peer-reviewed papers in top-tier venues such as CVPR, ICCP, and Optics Express, and holds four U.S. patents. Dr. Chen has served on program committees for ICCP and IJCAI, and is an active reviewer for major journals and conferences such as IEEE TPAMI, IEEE TIP, Optics Express, Optics Letters, CVPR, ICCV, ECCV, and ICLR. His awards include the Outstanding Reviewer Award at ICCV 2021, the Best Poster Award at ICCP 2019, and the Texas Instruments Distinguished Graduate Student Fellowship.
