HI

Master's in AI
Hybrid

University of Hawaiβ€˜i at Mānoa

Master’s in Computer Science – AI & DS Track

  • Honolulu
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.

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What You'll Learn

Students learn to design intelligent systems, analyze large datasets, and implement scalable machine learning solutions across diverse technological sectors.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features core computer science principles integrated with specialized modules in machine learning, big data analytics, and autonomous systems development.
Typical Course Topics
1. Machine Learning and Deep Learning 2. Natural Language Processing 3. Computer Vision 4. Data Mining and Big Data Analytics 5. Statistical Methods for Data Science 6. Neural Networks and Advanced AI Algorithms
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

β€’ Degree Required: Master of Science (MS)
β€’ GRE: Required or Recommended
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as AI Research Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Artificial Intelligence/Machine Learning Engineer: $120,000 Data Science: $115,000 Machine Learning Operations (MLOps): $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Engineer 4. Data Engineering Specialist
Top AI Employers (Industry-Wide):
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.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 19,500
Format
Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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