HI

Master's in AI
Hybrid

University of Hawaiβ€˜i at Mānoa

Professional Master’s in Computer Science: AI and Data Science Track

  • Honolulu
About This Program

This professional degree builds on foundational computing skills to offer advanced training for those looking to lead in the evolving AI and data science landscape.

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What You'll Learn

Students acquire advanced technical expertise and build a competitive portfolio while mastering industry-standard tools for machine learning and data visualization.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The two-year hybrid program includes applied computing seminars, machine learning, advanced AI, and a practical internship for industry experience.
Typical Course Topics
1. Machine Learning and Deep Learning 2. Data Mining and Statistical Analysis 3. Applied Artificial Intelligence 4. Database Management and Big Data Systems 5. Python Programming and Data Wrangling 6. Responsible AI, Ethics, and Deployment
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, mathematics, engineering, or related field is typically required, along with a competitive GPA (3.0+). Strong programming fundamentals and familiarity with linear algebra and statistics are expected prerequisites.
Academic Requirements (Typical)

β€’ Degree Required: Master’s (MS/MPS)
β€’ GRE/GMAT: 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

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 Data Scientist: $125,000 AI Systems Engineer: $135,000 Analytics Manager: $120,000
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 Systems Architect 4. Analytics Manager
Top AI Employers (Industry-Wide):
Top employers in AI and data science include Google, Microsoft, Amazon, IBM, Meta, Tesla, and major financial institutions and tech firms across industries.
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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