Shape the future of learning with artificial intelligence. Gain the technical expertise to build AI-powered learning technologies and the educational insight to ensure they truly improve how people learn. Combining AI, learning sciences, and product design, you'll be prepared to create innovative, ethical, and human-centered solutions that transform education worldwide.
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Degree Details
Official Degree Title
Master of Science in Artificial Intelligence for Learning
Format
Full-time or Part-time
Credits
30-36
Start Date
Fall
Application Deadline
Shape the future of learning by combining the power of artificial intelligence with the science of education. This interdisciplinary program equips you to design, build, and evaluate AI-powered learning experiences that are innovative, effective, and human-centered.
You'll develop expertise in three core areas:
- Learning Sciences: Understand how people learn from cognitive, social, developmental, and cultural perspectives. Apply evidence-based learning theories to create educational experiences that meet the needs of diverse learners and contexts.
- Applied Artificial Intelligence in Learning: Build practical skills in machine learning, generative AI, computer vision, natural language processing, training and auditing algorithms for learnings, and other emerging technologies. Learn how to develop intelligent tutoring systems, adaptive learning environments, and AI applications that enhance teaching and learning.
- Learning Product Design & Evaluation: Design, prototype, and evaluate educational technologies using human-centered design principles. Gain experience creating engaging learning products while assessing their effectiveness, usability, and real-world impact.
Throughout the program, you'll explore the ethical, social, and policy challenges of AI in education, including data privacy, fairness, transparency, accessibility, and responsible innovation.
Learn by building. The AI for Learning program combines technical depth with hands-on experience, giving you the skills to design, develop, and evaluate AI-powered learning technologies from concept to deployment.
- Build Real AI Applications: Develop practical expertise in machine learning, computer vision, natural language processing, large language models, and agentic AI by creating intelligent systems that address real educational challenges, including, scaffolding learning, assistive technology, assessments, and personalization algorithms.
- Collaborate Across Disciplines: Work in diverse teams alongside peers with backgrounds in education, computer science, machine learning, design research, and education policy—reflecting how successful AI products are developed and deployed in practice.
- Design, Prototype, and Test: Apply a studio-based, project-centered approach to design, prototype, and refine AI-powered learning experiences through iterative development and user feedback.
- Create a Capstone Project: Complete the program with a substantial capstone in which you design, build, deploy, and evaluate an AI-enhanced learning solution that demonstrates both technical excellence and educational impact.
Throughout the program, you'll work with the latest AI tools and technologies while developing the practical experience and portfolio needed to lead innovation in education and learning.
Graduates of the AI for Learning program are prepared to lead the future of education by combining expertise in artificial intelligence, learning sciences, and product design. They are equipped to create innovative, ethical, and evidence-based AI solutions that improve learning across educational and professional settings.
- AI Learning Product Manager: Lead the design, development, and deployment of AI-powered learning products in EdTech companies, balancing technical innovation with learner needs and educational impact.
- Educational Data Scientist: Use data analytics, machine learning, and AI to personalize learning, generate actionable insights, improve assessment, and support data-informed decision making.
- AI Instructional Designer: Design AI-enhanced curricula, learning experiences, and instructional resources while helping educators integrate AI effectively and responsibly into teaching and learning.
- AI in Education Researcher: Investigate how AI can improve learning through rigorous research, contributing to new technologies, evidence-based practices, and the future of educational innovation.
- AI Policy & Strategy Advisor: Develop policies, governance frameworks, and strategic initiatives that promote the ethical, equitable, and responsible use of AI in education across schools, universities, nonprofits, and government.
- Educational Technology Leader: Guide the adoption of AI and emerging technologies as a director, innovation lead, or technology strategist in educational institutions, corporate learning, and training organizations.
Whether launching new AI-powered learning products, advancing educational research, or shaping the future of AI policy, graduates leave ready to drive meaningful innovation across K–12, higher education, workplace learning, nonprofits, and the global EdTech industry.
Program Benefits for International Students
If you’re an international student, you may be able to work in the United States after graduation for an extended period of time. Most students studying on F-1 visas will be eligible for 12 months of Optional Practical Training (OPT) off-campus work authorization. F-1 students in our program may also be eligible for the STEM (Science, Technology, Engineering, or Mathematics) OPT extension, allowing you to extend your time in the United States to pursue degree-related work experience for a total of 36 months or 3 years. For more information on who can apply for this extension visit NYU’s Office of Global Services: STEM OPT.
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Advance your personal and professional journey – apply to join our community of students.