New York University Steinhardt School of Culture, Education, and Human Development 18 courses 16 total credits
In this minor, students learn how data-driven solutions and applications can improve and inform education practices, policy making, and implementation, and how education, as a tool, can impact many aspects of society beyond school boundaries. Students develop knowledge through foundations courses and practice your skills in survey development, data literacy, quantitative problem solving, and AI literacy in a data and education practicum course. Students use a critical lens to examine important issues in the use of data to address education issues, such as access and equity, ethics and values, both in the US and globally. Students learn how to understand and manage education data, how to think about and examine the complexities of education data, how and why education data are collected, and what kinds of critical education issues can be explored and solved through data. Through coursework and practical application, students gain the following skills:
Required Courses
Students who have no foundation in quantitative methods, statistics or data science must take one course from the following:
| Code | Course Title | Credits |
|---|---|---|
| APSTA-UE 21 | Cracking the Code | 4 |
| APSTA-UE 1085 | Basic Statistics I | 4 |
| APSTA-UE 10 | Statistical Mysteries and How to Solve Them | 4 |
| APSTA-UE 25 | Carpe Datum: Data Science for Lifeβs Big Questions | 4 |
| Total Required Courses | 4 credits | |
Required Courses
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| HSED-UE 1005 | Introduction to US Education | 4 |
| EDLED-UE 1005 | Intro to Education Policy Analysis | 4 |
| INTE-UE 10 | Introduction to Global Education | 4 |
| TCHL-UE 41 | American Dilemmas: Race, Inequality, and the Unfulfilled | |
| Total Required Courses | 4 credits | |
Data and Education Practicum
Data and Statistical Applications
| Code | Course Title | Credits |
|---|---|---|
| APSTA-UE 1301 | Power + Politics of Data | 4 |
| EDST-UE 1601 | Presenting and Visualizing Education Data | 4 |
Data and Education Practicum
Experiential Learning
| Code | Course Title | Credits |
|---|---|---|
| EDST-UE 1503 | Education and Social Entrepreneurship | 4 |
| EDST-UE 1505 | Education Consulting | 4 |
Electives
Select at least 1 course from the combined list of Foundations of Education and Data and Education Practicum courses listed above or from the following:
Click a course code or title to read the full course description.
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