Educational Psychology and Quantitative Methods University at Buffalo

Overview

The Educational Psychology and Quantitative Methods programme at the University at Buffalo provides students with the technical expertise required to analyse complex educational data. This Master of Science degree focuses on leveraging big data and advanced analytics to drive equitable decision-making within diverse learning environments.

Students engage with a curriculum designed to address real-world challenges by mastering critical quantitative research methods. The programme prepares graduates to influence educational policy and practice through high-quality, data-driven research. By focusing on underserved populations, the course ensures that data analysis serves to promote social and economic equity.

Why Educational Psychology and Quantitative Methods at University at Buffalo?

The University at Buffalo offers a flexible learning environment where students can choose between dynamic on-campus interactions or the convenience of online study. This adaptability ensures that the same high standard of knowledge and skill acquisition is accessible to all, regardless of their physical location.

The institution is recognised for its distinctive teaching features, including rigorous training in advanced statistics, measurement techniques, and the secondary analysis of large-scale datasets. Students benefit from an environment that encourages the application of research design to tackle contemporary issues in classroom practices and educational transitions.

Furthermore, the university fosters a research-intensive atmosphere where faculty members lead significant studies in human development and behavioural patterns. This culture of inquiry provides students with insights into how temperament and environmental factors impact educational and social outcomes across the lifespan.

Tuition Fee Breakdown

• International fee: USD 12870 per semester
• National fee: USD 12870 per semester
• Local fee: USD 5655 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Fundamentals of Educational Research
• Psychometric Theory in Education
• Statistical Methods I
• Statistical Methods II
• Human Growth and Development
• Psychology of Learning and Instruction
• Educational Data Science and Analytics
• Advanced Programming for Educational Data Analytics
• Experimental Design
• Applied Multivariate Analysis
• Structural Equation Modeling
• Analysis of Large-Scale Databases
• Hierarchical Linear Modeling
• Applied Regression Analysis
• Meta-Analysis
• Applied Survival Analysis in Education and Social Sciences
• Topical Seminar
• Comparative and Global Studies in Education
• Education and Globalization
• Sociological Bases of Education
• American Education for International Students
• Critical Race Theory
• Educational Transitions P–20
• Policy Formulation and Analysis
• Readings in Multicultural Literature
• Science, Technology and Human Values
• Computers in Early and Primary Education

Careers with Educational Psychology and Quantitative Methods

Graduates of this programme are well-equipped for roles in various sectors where data-driven decision-making is essential. Many find employment within local, district, and state education departments, focusing on policy analysis and system improvements.

Opportunities also exist within public and private research agencies that specialise in educational assessments and large-scale data evaluation. Additionally, graduates are prepared for analytical and research positions within schools, colleges, and universities, contributing to the advancement of institutional effectiveness and student success.