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Master of Science in Artificial Intelligence

Webinar on May 12 - Inside CU Boulder's Online MS in Artificial Intelligence & MS in Computer Science Programs | Register here

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

Specialize in AI and lead at the cutting edge of technology

Immerse yourself in the theory, tools, and application of artificial intelligence with the only English-language AI degree available on Coursera. The Master of Science in Artificial Intelligence (MS-AI) is designed for learners who want to specialize deeply in AI and machine learning, positioning themselves at the forefront of technological innovation.

This degree is a focused, deep dive into the most powerful technologies reshaping our world. You will gain advanced expertise in neural networks, deep learning, generative AI, and reinforcement learning. The curriculum is highly applied, preparing you to design, train, and deploy the intelligent systems that power modern products and services. You’ll acquire the end-to-end skills to manage projects through the entire AI lifecycle, from model building to scalable deployment. In addition to technical mastery, you will explore the critical context of responsible AI, learning to mitigate bias and understand the societal impact of your work. 

Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of artificial intelligence accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Machine Learning Engineer, NLP Engineer, or Applied Scientist in high-growth, AI-driven industries.

What sets this program apart?

Earn a fully accredited university credential
Complete a 30-credit-hour master's degree that is fully accredited by the Higher Learning Commission (HLC), ensuring the highest standard of academic quality and institutional value.
Flexible, interdisciplinary study
Customize your degree by choosing from a rich selection of electives in engineering, data, security, and more to align with your career goals.
Cutting-edge, applied curriculum
Learn the latest techniques in generative AI, deep learning, computer vision, and NLP through project-based work aligned with industry needs.
Foundations in responsible AI
Develop a strong ethical framework by exploring bias mitigation, fairness, and accountability to become a conscientious AI leader.
Build your mathematical core
Acquire the foundational math and statistics skills in probability and linear algebra essential for true AI mastery.
Accessible to all backgrounds
Gain admission through a performance-based pathway, allowing you to prove your potential regardless of your prior field of study.

Enrollment for the Summer 1 2026 term is open!

  • Enrollment opens: April 20, 2026
  • Enrollment deadline: June 12, 2026

To ensure a smooth start, begin your enrollment and allow two weeks for it to complete.

Upcoming events

  • May 12: Inside CU Boulder's Online MS in Artificial Intelligence & MS in Computer Science Programs - Register here

Additional resources

Summer 1 2026 term deadline: June 12

Start your enrollment now or request more information.

To ensure a smooth start, begin your enrollment and allow two weeks for it to complete.

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

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

Specialize in AI and lead at the cutting edge of technology

Immerse yourself in the theory, tools, and application of artificial intelligence with the only English-language AI degree available on Coursera. The Master of Science in Artificial Intelligence (MS-AI) is designed for learners who want to specialize deeply in AI and machine learning, positioning themselves at the forefront of technological innovation.

This degree is a focused, deep dive into the most powerful technologies reshaping our world. You will gain advanced expertise in neural networks, deep learning, generative AI, and reinforcement learning. The curriculum is highly applied, preparing you to design, train, and deploy the intelligent systems that power modern products and services. You’ll acquire the end-to-end skills to manage projects through the entire AI lifecycle, from model building to scalable deployment. In addition to technical mastery, you will explore the critical context of responsible AI, learning to mitigate bias and understand the societal impact of your work. 

Program admission is performance-based, determined by your success in three preliminary courses, not your academic history, making a career in the high-growth field of artificial intelligence accessible. You’ll graduate from a top-ranked global research university, prepared for essential roles like Machine Learning Engineer, NLP Engineer, or Applied Scientist in high-growth, AI-driven industries.

What sets this program apart?

Earn a fully accredited university credential
Complete a 30-credit-hour master's degree that is fully accredited by the Higher Learning Commission (HLC), ensuring the highest standard of academic quality and institutional value.
Flexible, interdisciplinary study
Customize your degree by choosing from a rich selection of electives in engineering, data, security, and more to align with your career goals.
Cutting-edge, applied curriculum
Learn the latest techniques in generative AI, deep learning, computer vision, and NLP through project-based work aligned with industry needs.
Foundations in responsible AI
Develop a strong ethical framework by exploring bias mitigation, fairness, and accountability to become a conscientious AI leader.
Build your mathematical core
Acquire the foundational math and statistics skills in probability and linear algebra essential for true AI mastery.
Accessible to all backgrounds
Gain admission through a performance-based pathway, allowing you to prove your potential regardless of your prior field of study.

Enrollment for the Summer 1 2026 term is open!

  • Enrollment opens: April 20, 2026
  • Enrollment deadline: June 12, 2026

To ensure a smooth start, begin your enrollment and allow two weeks for it to complete.

Upcoming events

  • May 12: Inside CU Boulder's Online MS in Artificial Intelligence & MS in Computer Science Programs - Register here

Additional resources

[Featured Image] A network administration answers, "What does the term attenuation mean in data communication?" as they talk to two coworkers gathered around a desktop computer station in a networking room.

Build toward a degree at your own pace

Not sure if you’re ready to begin earning your degree? Start making progress by taking eligible content that aligns with your goals and interests. Gain in-demand skills while building towards a degree.

These are some of the courses that are part of the degree program. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.

*Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.

[Featured Image] A network administration answers, "What does the term attenuation mean in data communication?" as they talk to two coworkers gathered around a desktop computer station in a networking room.

Match your learning to your budget with flexible pay-as-you-go tuition

  • $15,750 USD tuition total

    With a significantly lower cost than comparable programs, you can pursue a high-quality education at a more affordable price.

  • Pay-as-you-go tuition

    You'll only pay for the courses in your next session. If a scheduling conflict arises, you’re free to take a session off without charges or penalties.

  • Transparent pricing

    Avoid surprises with transparent tuition. Your price covers everything from course access and exam proctoring to dedicated support and career resources.
View info about tuition & financing
[Image en vedette] Un homme d’affaires utilise Google Dashboards pour travailler avec des analyses.

No degree? No problem. Let your course performance prove your potential

CU Boulder's MS-AI program offers a performance-based pathway for all learners - with or without a bachelor’s degree or conventional STEM experience.

Simply complete a three-course pathway in either machine learning or statistical learning for credit. Achieve at least a B in each course, and you’ll be admitted to the master’s degree. 

There’s no application required, and with six start dates per year, you can register for the pathway and start studying as soon as you’re ready.

[Image en vedette] Un homme d’affaires utilise Google Dashboards pour travailler avec des analyses.

Summer 1 2026 term deadline: June 12

Don’t miss your chance to join the cohort!

Build toward a degree

These courses are part of the degree program. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

  • University of Colorado Boulder

    Launch your career in financial management

    Beginner · Specialization

  • University of Colorado Boulder

    Computer Vision from Fundamentals to Advanced

    Intermediate · Specialization

  • University of Colorado Boulder

    Explore the Frontier of Ethical Computing

    Beginner · Specialization

¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.

Frequently asked questions

Graduates earn the same Master of Science in Artificial Intelligence degree awarded by the University of Colorado Boulder as students in the on-campus program. The diploma does not mention Coursera or online study.

This degree prepares graduates for advanced AI and machine learning roles such as Machine Learning Engineer, NLP Engineer, Applied Scientist, and other technical positions focused on intelligent systems and AI-driven product development.

Yes. The program is included in the University of Colorado Boulder’s institutional accreditation by the Higher Learning Commission.

Summer 1 2026 term deadline: June 12

Don’t miss your chance to join the cohort!