Quantitative Methodology: Measurement and Statistics, P.B.C.
Post-Baccalaureate Certificate
Program Overview
The Quantitative Methodology: Measurement and Statistics—Post-Baccalaureate Certificate program is designed for doctoral students enrolled at the University of Maryland who seek specialized training in quantitative methods to complement their primary area of study. This highly ranked certificate program equips you with essential skills and knowledge in advanced statistical analysis, providing a valuable quantitative specialization applicable to many academic and professional pursuits.
Key Features
- Customized Curriculum: Tailor your course selection to align with your research interests and career goals in consultation with your assigned QMMS certificate advisor.
- Core Course Foundation: Build a strong quantitative foundation through completion of four common core courses, covering applied measurement, general linear models, causal inference, and evaluation methods.
- Interdisciplinary Opportunities: Collaborate with faculty and students from diverse academic backgrounds, enriching your learning experience and broadening your perspective on quantitative research methodologies.
Learning Goals
Learning Goals
- Demonstrate proficiency in the application of general and generalized linear models for analyzing data across various research contexts.
- Understand and critically evaluate different research designs, ensuring the selection of appropriate methodologies to address research questions effectively.
- Gain a solid understanding of the fundamentals of measurement, including reliability, validity, and scale construction, to inform data collection and interpretation.
- Acquire practical skills in utilizing data analytics software packages to conduct statistical analysis and interpret research findings accurately.
How to Apply
How to Apply
If you are a prospective student who has questions about this program, please contact a QMMS faculty member or Dr. Gregory R. Hancock, ghancock@umd.edu
Per University policy, you cannot graduate and obtain a Ph.D. before completing the QMMS certificate. However, they can be completed within the same semester.
“I’m empowered to bring change to the real world through my research work. Also, as an EdTerp, you are surrounded and supported by a community of exceptional scholars and colleagues, all dedicated to making a positive impact on education and human society, which is truly inspiring.”
Yi Feng, student, Quantitative Methodology: Measurement and Statistics
Yi Feng, student, Quantitative Methodology: Measurement and Statistics
Requirements
Program Requirements
Courses in this certificate are carefully selected. Your specific program of study will be structured to take into account your background and goals.
QMMS Graduate Student Handbook
Program of Study
The certificate requires completion of 21 credits, including the following four common core courses:
- QMMS 623 Applied Measurement: Issues and Practices (3)
- QMMS 646 General Linear Models I (3)
- QMMS 647 Causal Inference and Evaluation Methods (3)
- QMMS 651 General Linear Models II (3)
The courses to be taken for the remaining nine credits should be chosen in consultation with your assigned QMMS certificate advisor.
You must maintain a grade point average of at least 3.5 in courses taken for the certificate. Also, you must complete each course in the certificate with a grade of B or better. If a lower grade is obtained in a given course, then the course in question must be repeated until this grade requirement is achieved or not counted in the certificate and another course substituted.
Contact
Contact
