Education Data Science
The Master of Science in Education Data Science is designed to equip students with the skills to analyze, interpret, and apply data to improve educational outcomes. The program integrates data analytics, statistical modeling, and educational research, enabling students to understand patterns in learning, assessment, and institutional performance. Students gain hands-on experience in data management, visualization, and predictive analytics, preparing them to develop evidence-based strategies that enhance teaching, learning, and policy decisions.
Throughout the program, students engage in applied projects, research initiatives, and collaborative exercises that emphasize critical thinking, problem-solving, and data-driven decision-making. The curriculum covers topics such as learning analytics, educational assessment, policy evaluation, and machine learning applications in education, allowing graduates to turn complex data into actionable insights. By the end of the program, students possess the technical expertise, analytical skills, and professional insight necessary to advance educational innovation and research initiatives.
Key information
Key Facts
- Program Title: Education Data Science
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 January 2026
- Location: Stanford University, United States
- Field of Study: Education
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Education Data Science
- Introduction to Data Science in Education
- Educational Research Methods
- Statistical Analysis and Modeling
- Data Management and Visualization
Semester 2 – Advanced Analytical Techniques
- Learning Analytics and Assessment
- Machine Learning Applications in Education
- Policy Evaluation and Program Assessment
- Quantitative and Qualitative Research Methods
Semester 3 – Applied Research & Fieldwork
- Data-Driven Decision Making in Education
- Research Project / Internship
- Elective Modules in Curriculum, Technology, or Policy
- Applied Learning Analytics Projects
Semester 4 – Master’s Thesis & Capstone Project
- Independent Research / Thesis
- Advanced Data Modeling and Interpretation
- Presentation of Findings & Professional Portfolio
- Capstone Project in Education Data Science
Career Opportunities
Graduates of this program are prepared for careers in educational research, data analytics, policy evaluation, learning analytics, and institutional assessment. They can work in schools, universities, research institutions, government agencies, and educational technology companies. The program develops analytical, statistical, and problem-solving skills, enabling graduates to interpret complex educational data, design evidence-based programs, and provide actionable recommendations. Alumni are positioned to influence educational practices, improve learning outcomes, and guide data-driven policy decisions.
Why Choose This Program
This program offers a specialized approach to applying data science in education, combining technical expertise with a deep understanding of pedagogical practices and policy. Students gain hands-on experience through research projects, applied analytics, and fieldwork, allowing them to tackle real-world educational challenges. The curriculum emphasizes critical thinking, data-driven decision-making, and practical application, preparing graduates to contribute effectively to research, policy, and technological innovation in education. By choosing this program, students acquire the expertise, analytical skills, and professional experience necessary to lead initiatives that transform learning and institutional performance.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
