Explore how institutions, policies, and practices impact social, economic, and educational outcomes, with a focus on underserved populations.
Our educational data science program equips you with the skills to excel in one of the fastest-growing fields in the U.S. You'll learn to leverage big data, from large-scale assessments to advanced learning analytics, to drive equitable decision-making in education. By mastering critical quantitative methods, you’ll address biases in data, preparing to become a researcher or analyst rooted in equity and committed to advancing educational outcomes through innovative, data-driven solutions.
A $1.9 million National Institutes of Health grant will enable University at Buffalo professor Myles S. Faith to test a family-based treatment for childhood obesity using innovative technology that allows study participants to be treated in their homes.
“This time, instead of the families coming to the clinic, the clinic is coming to the families via technology,” says Faith.
This program is available both in person and online, offering the flexibility to learn in the way that best suits your needs. Whether you prefer the dynamic interaction of an on-campus experience or the convenience of studying from anywhere, you'll gain the same skills and knowledge to address educational issues.
Experience rigorous training in quantitative research methods, including advanced statistics, measurement techniques, secondary analysis of large-scale data sets and research design. You'll develop the expertise to conduct high-quality, data-driven research that can influence educational policy and practice.
Tackle real-world challenges in a variety of educational settings. You'll gain the skills to address improving classroom practices, promoting equitable learning opportunities and enhancing educational policies. You'll be ready to impact across diverse and evolving educational environments.
Academic credential granted | Master of Arts (MA) |
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Credits required for completion | 34 |
Time to completion | 3 to 4 full-time semesters |
Course delivery | On campus or online |
Experiential contact hours | N/A |
Application deadline | Priority Deadlines Fall: April 1, then rolling until Aug. 10 Spring: Nov. 1, then rolling until Jan. 10 |
CEP 701 Individual Guidance Thesis or Project
In an effort to make the application process more equitable, the GRE/MAT is no longer required for admissions consideration. If you still plan to take the GRE/MAT exam, you can send your scores through the testing agency, and they will automatically be added to your application; however, they are not required for admission consideration to this program.
Submit your completed online application, which includes:
Former/Maiden Name: Please provide us with your former/maiden name if you have one. When requesting transcripts, please ask the sending institution to indicate your current name and former/maiden name.
Admission Decision: The admission decision will be communicated to you as soon as review is complete. The decision is based on a number of factors and is the result of a thorough and deliberate process. All decisions are final and cannot be appealed.
In order to qualify for the in-state residency tuition rate, you must provide residency documentation indicating you have lived in New York State (NYS) 12 months before your semester start date.
If accepted, you will need to upload three documents to qualify for the in-state tuition rate. See Required Documents for Residency Application for more information.
All financial forms and supporting documentation with required signatures must be uploaded with your application and dated within one year of your intended enrollment date.
Graduates of this program go on to work in: