Artificial Intelligence & Learning Analytics
Master of Education Sciences
IS THIS PROGRAM A GOOD FIT FOR SOMEONE WITHOUT A TECH/AI BACKGROUND?
Yes! The MES-AILA program is designed for professionals from a variety of academic and career paths—including those with little or no prior experience in coding or AI. You’ll start with the fundamentals of educational data science and learning analytics, then build toward advanced applications. The goal is to develop both the skills and the mindset needed to work confidently as an educational data scientist.
CAN I DO THIS PROGRAM WHILE WORKING FULL-TIME?
Absolutely. All courses are fully online and asynchronous, allowing you to study on your own schedule. The program also offers optional live sessions and one-on-one check-ins to support collaboration across different time zones and working hours.
WHAT WILL I LEARN IN THESE COURSES?
Across nine courses, you’ll gain both theory and applied skills. By the end you’ll be able to:
- Apply principles from the learning analytics and cognitive sciences
- AI and Education to make sense of educational data
- Access, clean, manage, and analyze data from digital learning platforms
- Communicate results through writing, dashboards, and data visualizations
- Understand and uphold the ethical responsibilities of education data professionals
- Introduction to Educational Data Science
- Foundations of Learning Analytics
- Educational Statistics and Data Analysis
- Data Visualization and Communication
- AI in Education and Applications of AI in Education
- Educational Research and Evaluation
- Special Topics in AI & Learning Analytics
- Capstone in AI & Learning Analytics
WHAT CAREERS CAN I PURSUE AFTER COMPLETING THE PROGRAM?
Graduates are prepared for roles in:
- K-12 or higher education (assessment, curriculum, or institutional research)
- EdTech and corporate training (data, analytics or product roles)
- Research, nonprofits, or policy organizations
- Ph.D. and other graduate studies
WHAT DOES THE CAPSTONE PROJECT INVOLVE?
The Capstone in AI & Learning Analytics is a hands-on project where you’ll work with real or simulated data to solve practical challenges. Projects might include building dashboards, conducting evaluations, or generating data-informed recommendations in collaboration with schools, EdTech firms, or community partners.
WHAT ARE THE APPLICATION REQUIREMENTS?
- Bachelor’s Degree
- Transcripts
- Two letters of recommendation
- Optional: personal video, technical portfolio, code samples.
WHEN ARE APPLICATIONS REVIEWED?
- Application opens October 1
- Priority deadline (submit by this date for scholarship consideration): March 1
- Rolling review through: June 30
ARE SCHOLARSHIPS AVAILABLE?
Yes, a limited number of scholarships are available. No separate application is required – apply by March 1 to be considered.
WILL THERE BE SUPPORT FOR CONFERENCES, PUBLICATIONS, OR NETWORKING?
While we don’t offer direct financial support for conferences, faculty and industry advisors actively mentor students on research papers, presentations, and networking opportunities—helping you grow as a professional in the field.
WHAT IS THE EXPECTED COHORT SIZE?
We expect 20-30 students in our inaugural cohort.
WILL I LEARN / UTILIZE SPECIFIC TOOLS?
Yes. You’ll work with widely used applications and platforms for data access, analysis, and visualization. The program emphasizes adaptable, future-ready skills—so you’re not tied to a single tool or platform but prepared to lead as the field evolves.
