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Master of Science in Artificial Intelligence

University of Colorado Boulder logo

Master of Science in Artificial Intelligence

University of Colorado Boulder

Accredited degree

Offered by the University of Colorado Boulder

Finish in 12-24 months

30 courses total (30 credit hours) full or part-time, 5–8 hours/week per credit hour

$15,750 USD total cost

Flexible pay-as-you-go payment options with no hidden costs or fees

Performance-based admission

Start learning and show us you’re ready, regardless of your background

100% online

Lecture videos, hands-on projects, and connection with faculty and peers

A specialized curriculum at the forefront of AI

The Master of Science in Artificial Intelligence program offers a deep, specialized dive into the theory and application of modern AI. You will move beyond a general overview to gain advanced, practical skills in the technologies that define the field, including neural networks, deep learning, and generative AI.

The program prepares you to manage the entire AI lifecycle, from designing innovative models to optimizing and deploying them at scale. Just as importantly, you will learn to be a conscientious practitioner by exploring the principles of responsible AI, ensuring your work is fair, accountable, and ethically sound.

Design and train advanced neural networks
Build expertise in deep learning architectures for cutting-edge applications in areas like computer vision and natural language processing (NLP).
Manage the full AI project lifecycle
Master the MLOps skills required to take models from prototype to production, including optimization, scalable deployment, and performance monitoring.
Explore cutting-edge AI frontiers
Engage with the latest advancements in the field, including reinforcement learning for decision-making and the principles behind large-scale generative models.
Apply ethical frameworks to AI systems
Learn to identify and mitigate bias in datasets and models, enabling you to build and deploy fair, transparent, and accountable AI solutions.

Dates

  • Classes start: October 20, 2025
  • Enrollment closes: November 28, 2025
  • Note: as of October 24th, enrollment is temporarily suspended for unplanned maintenance

Upcoming events

  • Stay tuned!

Additional resources

Dates

  • Classes start: October 20, 2025
  • Enrollment closes: November 28, 2025
  • Note: as of October 24th, enrollment is temporarily suspended for unplanned maintenance

Upcoming events

  • Stay tuned!

Additional resources