AK

Master's in DS/DA
On-Campus

University of Alaska Anchorage

MS in Artificial Intelligence, Data Science, Engineering

  • Anchorage
About This Program

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

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What You'll Learn

Students learn to apply advanced analytical algorithms and technical skills to solve real-world problems in engineering and geomatics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Core coursework covers advanced machine learning, data mining, general statistics for data science, and database management systems.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Big Data Analytics 4. AI Systems Engineering 5. Data Mining and Visualization 6. Reinforcement Learning
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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

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

Estimated Industry Salary
AI Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Data Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 19,020
Format
On-Campus
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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