CertificateHybridPart-Time

University of Hawai‘i at Mānoa

Graduate Certificate in Applied Computing - AI/Data Science Track

Honolulu, Hawaii1 years$14K total tuition
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Est. Salary$120,000 Machine Learning Engineer
Job Growth+36%
Top RoleAI Engineer
FormatHybrid

Admission Snapshot

Degree Required
Graduate Certificate
Duration
1 year
Est. Tuition
$14K total
Format
Hybrid
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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.

About This Program

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

Career Outcomes

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

  • 1. Data Scientist
  • 2. Machine Learning Engineer
  • 3. AI/ML Systems Analyst
  • 4. Business Intelligence Analyst

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

Curriculum Highlights

The structure includes core modules in data science, statistics, programming, and artificial intelligence, with an emphasis on real-world case studies.

Top Employers

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.

Admissions

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.

Application Materials

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

Academic Requirements

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

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