WORKING 2025-2026 Graduate Catalog [ARCHIVED CATALOG]
Educational Data Science PhD
|
|
Every aspect of the educational experience is constantly evolving. The educational data science doctoral program provides the foundation you need to study educational problems, influence policy or shape the future as a faculty member-in higher education, K-12 school settings or non-profit, governmental or educational research centers. Relying on educational big data, data mining or learning analytics will teach you to leverage big data and use critical quantitative methods harnessed for educational equity.
|
Required Core (16 credits)
Elective Courses (27 credits)
Cognition, Development, Learning and Technology (6 credits)
Select 2 from: Research Design, Measurement and Assessment, Statistics and Data Analysis (9 credits)
Select 3 from: Qualitative Research Methods (6 credits)
Select 2 from: Substantive Issues of Educational Policy and Practice (6 credits)
Select 2 from: Additional Electives (14 credits)
Select additional electives from the catagories below, and with advisor approval, in order to reach a minimum of 72 total credit hours. Number of elective credits may vary depending on choices to complete other requirements. Research Design, Measurement and Assessment, Statistics and Data Analysis
Research and Assessment Courses in the Disciplines
Culminating Experience: Thesis/Dissertation (15 credits)
Total Credit Hours: 72
3,0 Degree GPA required Instruction Method
- In Person (100 percent of courses offered in person)
SED Statement
This program is officially registered with the New York State Education Department (SED). Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details. |
 Return to: A-Z Program List
|
