Master the fundamentals of data analytics and AI to optimize teaching, learning, and assessment.
Harness the power of generative AI to enhance data analysis in educational settings.
The Learning Analytics and Artificial Intelligence (AI), M.S.Ed. program will empower you to leverage data analytics and AI to drive high-impact decision-making within educational contexts. You’ll gain advanced skills in measurement, analysis, and predictive modeling, while exploring cutting-edge methodologies such as machine learning and generative AI—while avoiding algorithmic bias. The curriculum also builds practical skills in real-time data analysis, data visualization, personalized learning recommendations, and data management, preparing you to design and enhance data-driven learning environments.
Rolling Application Deadline
Fall or Spring Entry Terms
Full or Part-Time Enrollment Format
10 Courses
16 Months Duration (Full-Time)
Online Modality
Learning Analytics and AI, M.S.Ed., the Ivy League's first fully online master's program of its kind, uses educational data and modern algorithms to develop learning technologies that enhance student outcomes, support teachers and school leaders, and help identify and address gaps. Successful use of learning analytics depends on understanding both algorithms and learning, including the social context that surrounds learning and the use of learning analytics.
Application Requirements and Deadlines Tuition and Fees Financial Aid
Designed for working professionals, this flexible online program combines the prestige of an Ivy League education with practical, data-driven skills to improve learning outcomes and advance careers in education, technology, and training.
Designed for working professionals, this flexible online program combines the prestige of an Ivy League education with practical, data-driven skills to improve learning outcomes and advance careers in education, technology, and training.
Time: 12:00 pm - 1:00 pm | Location: Online
Time: 12:00 pm - 1:00 pm | Location: Online
Complete the program in as little as 16 months by following the recommended full-time schedule (Fall, Spring, Summer, Fall), or opt for a part-time pace and finish within two years.
The curriculum includes eight core courses, two concentration electives, and a culminating capstone project. In the capstone, students develop real-world solutions that demonstrate industry readiness—and may even lead to submissions in demo or short paper tracks at top international conferences.
Delivered fully online with no in-person requirements, the program blends synchronous and asynchronous learning. Multiple time slots for live sessions ensure accessibility for students across time zones. For more information on courses and requirements, visit the Learning Analytics and Artificial Intelligence, M.S.Ed. program in the University Catalog.
We're happy to help! Contact the Program Manager, Haiying Li, Ph.D., haiyli@upenn.edu.
The University of Pennsylvania is accredited by the Middle States Commission on Higher Education (MSCHE), 3624 Market Street, Philadelphia, PA 19104. (267) 284-5000. www.msche.org. The MSCHE is an institutional accrediting agency recognized by the US Secretary of Education and the Council for Higher Education Accreditation (CHEA). Information about Penn’s accreditation with MSCHE is available here.
To make a complaint to MSCHE, visit this website.
For more information about Penn’s accreditation status, visit the Penn Provost website.
The Learning Analytics and AI, M.S.Ed. program prepares students for careers in industry, government, non-profits, higher education, and K-12 school systems, as well as to go on to pursue doctoral programs. The program prepares graduates to work in research and development in areas such as at-risk prediction, intelligent tutoring systems, and educational recommender systems.
A graduate degree from Penn GSE opens up whole new worlds, intellectually as well as professionally. If you are a passionate, innovative, impactful leader—or aspire to be one—Penn GSE is the place for you.
Contact us if you have any questions about the program.
With funding from the Neubauer Family Foundation, the program was created in direct response to the School District of Philadelphia’s call for targeted support in Algebra 1 instruction.
On May 17, in the Palestra, Penn GSE commemorated the achievements of the roughly 600 master’s and doctoral graduates at this year’s Commencement ceremony.
This spring, those honors include three Spencer Foundation grants, the Presidential Award for Excellence in Mathematics and Science Teaching, and more.
Professor of Practice Andrea Kane emphasizes the importance of educators and school leaders engaging with themselves, each other, and their school communities to navigate district policies, state laws, and complex or controversial topics in the classroom.
Educators and scholars explored how educators can model democratic engagement while honoring student voice and diverse perspectives.
The recent graduate of Penn GSE’s Urban Teaching Residency shares her classroom at Muñoz-Marin Elementary in North Philadelphia.
The Project-Based Learning for Global Climate Justice certificate program is a collaboration between Penn GSE and 70 educators around Asia, Africa, and Europe working together on a K–12 education program that emphasizes climate change and social inequalities.
Arrington aims to inspire students to think independently and be creative while demystifying and critically examining academic institutions’ expectations for writing and literacy.
Funded by the NSF, the Create AI workshop aimed to empower students and teachers to build, not just use, AI.
