University of Pennsylvania

How this program compares

Budget-wise, $48.8K puts this master's program at the 67th percentile on cost — about 14% above 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: A bachelor's degree in education, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework or experience in data analysis or programming. GRE scores are optional, and prerequisites in statistics or educational technology may be recommended.

About This Program

This online program prepares students to use educational data and modern algorithms to enhance student outcomes and support educators. Coursework concentrates on AI in Education and AI Engineering / Applied AI. Most students complete it in about 1.33 years.

At roughly $48.8K total, University of Pennsylvania's MS in Education in Learning Analytics and AI sits above the $42.9K average among AI master's programs we track — the 67th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in cheaper than about 56% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Design and implement learning analytics systems to measure student engagement and performance.

Career Outcomes

Graduates of University of Pennsylvania's MS in Education in Learning Analytics and AI most often target Data Scientist roles, where reported compensation runs around $105,000. Its focus on AI in Education and AI Engineering / Applied AI maps directly to how employers in education ai 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. Learning Analytics Specialist
• 2. Educational Data Scientist
• 3. AI Curriculum Designer
• 4. EdTech Research Analyst

What You'll Learn

• Design and implement learning analytics systems to measure student engagement and performance.
• Apply AI and machine learning models to personalize educational experiences.
• Analyze educational data for insights into teaching effectiveness and learner outcomes.
• Develop data dashboards and visualization tools for educational decision-making.

Curriculum Highlights

The curriculum consists of core courses in educational data mining, feature engineering, big data and society, and a culminating capstone project.

Top Employers

Top employers include universities like University of Pennsylvania, edtech companies such as Pearson and McGraw-Hill, K-12 school districts, and research organizations focused on educational technology.

Admissions

Admission to University of Pennsylvania's MS in Education in Learning Analytics and AI generally expects a bachelor's degree. The GRE is optional 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