University of Hawai‘i at Mānoa

How this program compares

Budget-wise, $19.5K puts this master's program at the 24th percentile on cost — roughly 55% below the $42.9K average across 394 comparable listings. It runs on a flexible schedule (on-campus, hybrid).

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0 and demonstrated coursework in programming, algorithms, and mathematics. Graduate Record Exam (GRE) scores are often required or recommended, particularly for competitive programs.

About This Program

This track within the master’s program provides flexible pathways for students to deepen their expertise in AI and data science through a blend of theory and application. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

It is one of 4 AI-related programs we track in Hawaii, of which about 75% offer an online option. On price, it comes in cheaper than about 50% of the Hawaii programs in our data, where typical tuition runs near $16.7K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Design and implement machine learning models for classification, regression, and clustering tasks.

Estimated total tuition is $19.5K, below the $42.9K average for AI master's programs in our database and in the 24th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

Graduates of University of Hawai‘i at Mānoa's Master's in Computer Science – AI & DS Track most often target AI Research Scientist roles, where reported compensation runs around $125,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Research Engineer
• 4. Data Engineering Specialist

What You'll Learn

• Design and implement machine learning models for classification, regression, and clustering tasks
• Apply deep learning techniques to complex data including images, text, and sequential data
• Develop data preprocessing and feature engineering strategies to optimize model performance
• Evaluate and deploy AI/DS solutions while addressing ethical considerations, bias, and interpretability

Curriculum Highlights

The curriculum features core computer science principles integrated with specialized modules in machine learning, big data analytics, and autonomous systems development.

Top Employers

Common employers include technology giants like Google, Amazon, Microsoft, Meta, and Apple, as well as financial institutions, healthcare companies, and research organizations investing heavily in AI and data science capabilities.

Admissions

Admission to University of Hawai‘i at Mānoa's Master's in Computer Science – AI & DS Track generally expects a master of science (ms). Plan for the GRE, which this program lists as required or recommended. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions