Hawai‘i Pacific University

How this program compares

At an estimated $20.4K in total tuition, the MS in Artificial Intelligence sits roughly 52% below the $42.4K average for AI master's programs in our database — placing it in the 28th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related field with a strong GPA (3.0+). Some programs require relevant coursework in programming, linear algebra, and calculus, though work experience in AI/ML is advantageous but not always required.

About This Program

A comprehensive graduate program that equips students with cutting-edge technologies and advanced data analytical methods based on AI and machine learning for various global industries. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $20.4K, below the $42.4K average for AI master's programs in our database and in the 28th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques[1][2][3]
• Develop deep learning architectures including CNNs and RNNs for computer vision and sequential data analysis[2][3]
• Apply natural language processing techniques for text analysis, sentiment analysis, and language understanding[2][3]
• Deploy machine learning systems to production while addressing AI ethics, bias mitigation, and model interpretability[2][3]

Curriculum Highlights

The curriculum covers AI and machine learning, big data analytics, high-performance computing, cloud computing, programming for data science in Python, and data visualization techniques.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, OpenAI, and major technology firms specializing in AI and machine learning applications.

Admissions

Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related field with a strong GPA (3.0+). Some programs require relevant coursework in programming, linear algebra, and calculus, though work experience in AI/ML is advantageous but not always required.

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: GRE typically required or recommended
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)