University at Buffalo Graduate School of Education 30 courses 35 total credits
The Educational Data Science program is designed to provide you with the essential knowledge and skills you need for this expanding field of data analytics—one of the ten fastest growing occupations in the U.S. Whether using large-scale assessment and survey data analyses, advanced data mining or learning analytics, you will learn to leverage big data to drive high-quality decisions within educational environments. Using critical quantitative methods harnessed for educational equity, you can move beyond the limitations and biases that can occur within big data sets. We aim to develop students as future educational researchers and data analysts whose professional research training and positionality are deeply rooted in equity.
| Total Credits | 35 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| CEP 500 | Fundamentals of Educational Research | 3 |
| CEP 510 | Psychometric Theory in Ed | 3 |
| CEP 522 | Statistical Methods I | 3 |
| CEP 523 | Statistical Methods II | 3 |
| CEP 541 | Human Growth & Development | 3 |
| CEP 560 | The Psychology of Learning and Instruction | 3 |
| Total Required Core | 18 credits | |
Group A - Data Analytics
Select 1 from:
| Code | Course Title | Credits |
|---|---|---|
| CEP 508 | Foundations of Educational Data Mining and Learning Analytics | 3 |
| CEP 513 | Adv Programming in EDS | 3 |
Group B - Research Design, Measurement, Statistics and Data Analysis
We recommend taking CEP 522-523 prior to CEP 524-531. Descriptive and inferential statistics background and dataanalysis experiences are required before taking CEP 524-531. Select 2 from:
Group C - Substantive Issues of Educational Policy and Practice
Select 1 from:
Culminating Experience: Project or Thesis (up to 5 credits)
| Code | Course Title | Credits |
|---|---|---|
| CEP 700 | Individual Guidance of the Project | 1-12 |
| CEP 701 | Individual Guidance of the Thesis | 1-6 |
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