University of Alaska Anchorage

How this program compares

University of Alaska Anchorage's MS in Artificial Intelligence, Data Science, Engineering lists about $19.0K total tuition — roughly 56% below the $42.9K AI master's average (22nd percentile in our data). It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 1 year.

At roughly $19.0K total, University of Alaska Anchorage's MS in Artificial Intelligence, Data Science, Engineering sits below the $42.9K average among AI master's programs we track — the 22nd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics.

Career Outcomes

University of Alaska Anchorage positions this master track for AI Engineer careers — typical offers cluster around $120,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Alaska Anchorage's MS in Artificial Intelligence, Data Science, Engineering generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions