MasterOn-CampusFull-Time

University of Alaska Anchorage

MS in Artificial Intelligence, Data Science, Engineering

Anchorage, Alaska1 years$19K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $19.0K in total tuition, the MS in Artificial Intelligence, Data Science, Engineering sits roughly 55% below the $42.4K average for AI master's programs in our database β€” placing it in the 23rd percentile on cost among the 531 we track at this level.

Est. Salary$120,000
Job Growth+36%
Top RoleAI Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$19K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, MLOps/AI Engineering

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.

Estimated total tuition is $19.0K, below the $42.4K average for AI master's programs in our database and in the 23rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Advance as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

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+)

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