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Certificates in AI
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University of Hawai‘i at Mānoa | Graduate Certificate in Applied Computing - AI/Data Science Track

  • Honolulu


About This Program

This graduate certificate provides practical, career-focused training in artificial intelligence and data science for students from non-computer science backgrounds.

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What You'll Learn
  • Design and implement machine learning models using Python libraries (scikit-learn, NumPy, Pandas) and evaluate their performance on real datasets
  • Apply statistical and analytical methods to extract actionable insights from complex, large-scale data systems
  • Develop proficiency in data engineering, preparation, and visualization to support predictive analytics and decision-making
  • Understand practical applications of AI/ML across industries including finance, healthcare, and technology sectors
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Graduate Certificate in Applied Computing – AI/Data Science Track is a graduate-level certificate program focused on building expertise in artificial intelligence, machine learning, and data science methodologies, typically completed in one to two semesters.
Typical Course Topics
1. Principles and Techniques of Data Science 2. Introduction to Machine Learning 3. Applied Machine Learning 4. Statistical Learning Theory 5. Data Engineering 6. Data Visualization and Analytics
Program Specializations:
Machine Learning
AI Engineering / Applied AI
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or related discipline) and a minimum undergraduate GPA of 3.0. Some programs may require relevant work experience or coursework in programming and statistics.
Academic Requirements (Typical)

• Degree Required: Graduate Certificate
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• 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.

Check Application Deadlines
Career Opportunities in AI

Strengthen machine learning skills to advance as AI Engineer in Cross-Industry AI

Estimated Industry Salary
Data Scientist: $120,000 Machine Learning Engineer: $125,000 AI Systems Engineer: $130,000 Analytics Engineer: $115,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. AI/ML Systems Analyst 4. Business Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers in AI and data science include Google, Amazon, Microsoft, Meta, IBM, and JPMorgan Chase, as well as leading consulting firms like McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 14,400
Format
Hybrid
Specializations
Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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