MasterOn-CampusPart-Time

University of Hawai‘i at Mānoa

M.S. in Computer Science - AI and Data Science

Honolulu, Hawaii2 years$20K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.

How this program compares

At an estimated $19.5K in total tuition, the M.S. in Computer Science - AI and Data Science sits roughly 54% below the $42.4K average for AI master's programs in our database — placing it in the 24th percentile on cost among the 531 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$20K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.

About This Program

This program offers advanced studies in computer science with a specialized focus on artificial intelligence and data science for research or professional advancement. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $19.5K, below the $42.4K 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.

Lead as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

  • 1. AI Engineer
  • 2. Data Scientist
  • 3. Machine Learning Engineer
  • 4. Data Analyst

What You'll Learn

  • Design and implement machine learning models for predictive analytics.
  • Apply AI techniques to solve complex computational problems.
  • Analyze and process large-scale datasets using advanced tools.
  • Develop intelligent systems with neural networks and deep learning.

Curriculum Highlights

Coursework includes high-performance computing, advanced artificial intelligence, machine learning, and specialized electives in data-centric computing and algorithmic theory.

Top Employers

Top employers include Google, Amazon, Microsoft, and tech firms specializing in AI and data analytics.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.

Application Materials

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

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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