University of Pennsylvania
MS in Education in Learning Analytics and AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $48.8K in total tuition, the MS in Education in Learning Analytics and AI sits about 15% above the $42.4K average for AI master's programs in our database β placing it in the 68th percentile on cost among the 531 we track at this level. It is one of the 57% 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.
Estimated total tuition is $48.8K, above the $42.4K average for AI master's programs in our database and in the 68th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Position as Data Scientist in Education AI with data mining expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.
Career Outcomes
Position as Data Scientist in Education AI with data mining expertise
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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