MasterHybridPart-Time

University of Hawai‘i at Mānoa

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

Honolulu, Hawaii2 years$20K total tuition
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How this program compares

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Est. Salary$130,000 Data Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatHybrid

Admission Snapshot

Degree Required
Master's (MS/MPS)
Duration
2 years
Est. Tuition
$20K total
Format
Hybrid
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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.

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.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Systems Architect
  • 4. Analytics Manager

What You'll Learn

  • Design, implement, and evaluate AI and machine learning solutions for real-world problems
  • Apply statistical techniques, data mining, and deep learning frameworks to large, complex datasets
  • Build scalable data systems using cloud computing, databases, and distributed processing architectures
  • Recognize ethical considerations, responsible AI principles, and best practices in data security and governance

Curriculum Highlights

The two-year hybrid program includes applied computing seminars, machine learning, advanced AI, and a practical internship for industry experience.

Top Employers

Top employers in AI and data science include Google, Microsoft, Amazon, IBM, Meta, Tesla, and major financial institutions and tech firms across industries.

Admissions

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.

Application Materials

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

Academic Requirements

  • Degree Required: Master's (MS/MPS)
  • GRE/GMAT: Required or recommended
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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