Learning Analytics
The Master of Science in Learning Analytics is a two year full time on campus program designed for students who want to harness data to improve educational outcomes and optimize learning environments. The curriculum combines educational theory, data science, statistics, and learning technologies to provide a comprehensive understanding of how to collect, analyze, and interpret educational data. Through this program, students develop data analysis skills, educational assessment expertise, learning technology competencies, and research abilities, preparing them to design evidence based interventions, evaluate educational programs, and support data informed decision making in diverse learning contexts.
This program offers a highly applied and interactive learning environment where lectures, workshops, coding labs, and research projects allow students to implement data driven solutions in real world educational settings. Students refine predictive analytics techniques, student performance modeling, curriculum evaluation methods, and learning outcome assessments through collaborative exercises and applied research projects. Graduates are prepared to work in schools, higher education institutions, edtech companies, government education agencies, and research organizations, equipping them to develop analytics frameworks, improve teaching strategies, and contribute to the advancement of evidence based education practices globally.
Key information
Key Facts
- Program Title: Learning Analytics
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 May 2026
- Location: Columbia University, United States
- Field of Study: Education
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Learning Analytics
• Introduction to Educational Data Analysis
• Research Methods in Education
• Learning Theories and Instructional Design
• Statistical Methods for Educational Research
Semester 2 – Advanced Data Analysis in Education
• Learning Analytics and Predictive Modeling
• Assessment and Evaluation in Education
• Data Visualization for Learning Insights
• Seminar in Educational Technology
Semester 3 – Applied Research and Analytics Projects
• Educational Program Evaluation
• Learning Technology Implementation
• Research Project in Learning Analytics
• Elective Modules in Education or Data Science
Semester 4 – Master's Thesis and Capstone Project
• Independent Research / Thesis
• Advanced Data Analysis and Interpretation
• Presentation & Academic Portfolio Development
Career Opportunities
Graduates of this program are prepared for careers in educational data analysis, learning technology, instructional design, and research evaluation. Career paths include learning analytics specialist, educational data scientist, instructional designer, assessment coordinator, and research analyst in education. Graduates are equipped to collect, analyze, and interpret educational data, design data driven interventions, and improve learning outcomes. The program also prepares learners for leadership roles in schools, universities, edtech firms, and governmental education agencies, enabling them to leverage analytics to inform decisions, optimize curricula, and enhance the overall educational experience.
Why Choose This Program
Students choose this program because it combines educational research, data analysis, learning technology, and applied analytics projects within a two year intensive framework. The curriculum emphasizes both theoretical knowledge and practical application, allowing learners to acquire the skills necessary to implement data driven strategies, evaluate educational programs, and improve learning outcomes. Graduates gain the expertise, analytical abilities, and confidence to pursue impactful careers in education, research, and technology enhanced learning, contributing to evidence based decision making and innovation in diverse educational settings.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
