University of Alaska Anchorage

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional but recommended for competitive applicants.

About This Program

This interdisciplinary master's degree instills a deep understanding of data-driven challenges and the development of custom AI models.

Career Outcomes

Advance as AI Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Engineer scalable AI systems using data pipelines and cloud infrastructure.
• Analyze large datasets to extract actionable insights with statistical methods.
• Apply deep learning techniques to computer vision and natural language processing.

Curriculum Highlights

Core coursework covers advanced machine learning, data mining, general statistics for data science, and database management systems.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional but recommended for competitive applicants.

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+)