Quantitative Methodology: Measurement and Statistics, M.S.
Master of Science
Program Overview
This Quantitative Methodology: Measurement and Statistics, Master of Science (M.S.) program provides you with advanced training in quantitative research methods and statistical analysis. You will learn to design and conduct research studies, analyze data using sophisticated statistical techniques, and interpret and present research findings effectively. We emphasize both theoretical knowledge and practical skills, preparing you for careers in any industry. Whether pursuing further graduate studies or entering the workforce directly, you will be well-prepared to contribute to the advancement of knowledge in your chosen field.
Key Features
- Balanced Training: Gain comprehensive skills in quantitative methods suitable for various professional settings.
- Proximity to Washington, D.C.: Access diverse academic and professional opportunities in the nation's capital.
- Rigorous Core Curriculum: Master key concepts in applied measurement, statistical modeling, and evaluation methods.
- Flexibility: Choose from a range of elective courses to deepen your expertise in specific areas of interest.
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Learning Goals
Learning Goals
- Demonstrate proficiency in applied measurement, statistical analysis, and research design.
- Apply quantitative methods to address complex research questions in diverse contexts.
- Evaluate and critique research literature and methodologies in the field of quantitative methodology.
- Communicate quantitative findings effectively to diverse audiences through written reports and presentations.
Careers
Career Options
This program offers a wide range of career pathways, including:
- Research Associate
- Data Analyst
- Policy Analyst
- Evaluation Specialist
How to Apply
How to Apply
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You are required to submit all required documents before submitting the application.
Program Specific Requirements
- Letters of Recommendation (3)
- Graduate Record Examination (GRE)
- CV/Resume
- Writing Sample (1)
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Requirements
Program Requirements
Courses in this program are carefully selected and highly customizable to give you the best possible experience. Your specific program of study will be structured to take into account your background and aspirations. Both thesis and non-thesis options are available.
There is a common core of courses comprised of:
- EDMS 623 Applied Measurement: Issues and Practices (3)
- EDMS 646 General Linear Models I (3)
- EDMS 647 Causal Inference and Evaluation Methods (3)
- EDMS 651 General Linear Models II (3)
- EDMS 655 Introduction to Multilevel Modeling (3)
- EDMS 657 Exploratory Latent and Composite Variable Methods (3)
- EDMS 724 Modern Measurement Theory (3)
Additional elective coursework completes the program. A written comprehensive examination based on the first four courses of the core is required. The Graduate School allows transfer of up to six credits of appropriate prior graduate work.
Contact
Contact
