University of Colorado Boulder

How this program compares

Budget-wise, $15.8K puts this master's program at the 13th percentile on cost — roughly 63% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

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.

Build, evaluate, and interpret supervised and unsupervised machine learning models.

At roughly $15.8K total, University of Colorado Boulder's MS in Artificial Intelligence on Coursera sits below the $42.9K average among AI master's programs we track — the 13th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 17 AI-related programs we track in Colorado, of which about 65% offer an online option. On price, it comes in cheaper than about 94% of the Colorado programs in our data, where typical tuition runs near $36.0K.

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

Career Outcomes

Graduates of University of Colorado Boulder's MS in Artificial Intelligence on Coursera most often target AI Engineer roles, where reported compensation runs around $120,000. Its focus on Deep Learning and Natural Language Processing (NLP) maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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 University of Colorado Boulder's MS in Artificial Intelligence on Coursera generally expects a bachelor's degree. The GRE is not required 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