MasterOnlinePart-Time

University of Colorado Boulder

MS in Artificial Intelligence on Coursera

Boulder, Colorado1.5 $16K 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 $15.8K in total tuition, the MS in Artificial Intelligence on Coursera sits roughly 63% below the $42.4K average for AI master's programs in our database β€” placing it in the 12th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$16K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Deep Learning, Natural Language Processing (NLP)

Typical admitted student: Admission to the MS in Artificial Intelligence requires strong performance in three preliminary Coursera courses rather than traditional academic history, along with recommended experience in linear algebra, calculus, probability, programming, and data visualization.

About This Program

This performance-based online master's program delivers advanced theoretical and practical knowledge in AI technologies. It is designed for learners seeking to lead AI lifecycle stages from model building to deployment. Coursework concentrates on Deep Learning and Natural Language Processing (NLP). Most students complete it in about 1.5 years.

Estimated total tuition is $15.8K, below the $42.4K average for AI master's programs in our database and in the 12th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Lead 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

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

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

What You'll Learn

  • Build, evaluate, and interpret supervised and unsupervised machine learning models.
  • Apply deep learning architectures including neural networks and transformers to complex data.
  • Analyze high-dimensional data using dimensionality reduction and clustering techniques.
  • Make ethical, industry-relevant decisions in AI modeling and deployment.

Curriculum Highlights

The modular curriculum requires 30 credits, including breadth specializations in statistical learning and ethics. Electives cover robotics, computer vision, generative AI, and natural language processing.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, and AI-focused startups and research labs.

Admissions

Admission to the MS in Artificial Intelligence requires strong performance in three preliminary Coursera courses rather than traditional academic history, along with recommended experience in linear algebra, calculus, probability, programming, and data visualization.

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: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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