MCS in Applied Computing: Artificial Intelligence and Data Science Track
Master’s in Computer Science (MCS):
Artificial Intelligence and Data Science Track
Master’s in Computer Science (MCS):
Artificial Intelligence and Data Science Track
Artificial Intelligence and Data Science Track
The Master’s in Computer Science prepares you for future-ready roles in AI, data science, and beyond. New cohorts starting each Fall.
Slide Background
Program Overview
Whether you’re looking to upskill, change careers, or advance in the tech sector, MCS will prepare you to lead and thrive in today’s evolving digital landscape.
Who should apply
Why we stand out
What you will learn
Tuition
Course requirements
Admissions requirements
Financial Aid
Who this is for
36%

Increase in employment opportunities for Data Scientists. (2023-2033)

What You’ll Learn
20,800

Annual Job Openings for Data Scientists in the United States.

Program Overview
$100k

Average salary for AI and Machine Learning Engineers and specialists.

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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

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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

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Dr. Mehdi Belcaid is an Associate Research Professor at the University of Hawaiʻi at Mānoa, where he holds a joint appointment in the Information and Computer Sciences Department and the Hawaiʻi Institute of Marine Biology. He earned his M.Sc. in Computer Science from the University of Quebec at Montreal and his Ph.D. in Computer Science from the University of Hawaiʻi. Dr. Belcaid is deeply engaged in advancing research at the intersection of computational biology, data science, and machine learning. His work primarily focuses on large-scale biological data—particularly genetic datasets—and the development of probabilistic algorithms designed to model the complex interactions found within biological systems. Dr. Belcaid’s expertise extends into natural language processing and educational innovation in data science, emphasizing the accessibility and interdisciplinary application of computational tools. As Executive Director of the Hawaiʻi Data Science Institute, he plays a vital role in promoting data-driven research and fostering collaborative projects across scientific disciplines throughout the university system. His leadership continues to influence the growth of data science education and research in Hawaiʻi and beyond. Dr. Belcaid’s commitment to cross-disciplinary collaboration ensures that his work remains impactful and relevant in a rapidly evolving scientific landscape.

Dr. Huaijin (George) Chen

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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.