The purpose of the graduate certificate in quantitative methods is fourfold:
- to strengthen interdepartmental links and communication among social and human science departments at CU Boulder, both in general and specifically with regards to quantitative research methodology and statistical analysis,
- to provide incentive and recognition to graduate students from a diverse set of departments who choose to cultivate expertise in quantitative research methods and methods of statistical analysis,
- to increase the visibility of and promote courses in quantitative research methods (possibly with the benefit that additional quantitative courses can be developed and taught), and
- as a consequence of all of the above, to improve the quality of quantitative training of graduate students at CU Boulder, increasing students' chances of employment upon completion of their graduate studies.
- Review the course requirements below.
- Complete the application form (see also example form).
- Review application with the advisor to ensure the courses meet the advisor's expectations for expertise in quantitative methods training.
- Submit the application electronically—along with all available syllabi and an unofficial transcript—to email@example.com.
Note: If a student's course plan meets the requirements and all courses have already been completed at the time of application, the student will receive approval for the certificate. If some of the intended coursework will take place in future semesters, then the student will be given “conditional” approval. Once all coursework is completed, the student must submit an updated application that includes an unofficial transcript showing that the courses were satisfactorily completed.
Applications will be reviewed once per semester. Deadlines are Nov. 1 and March 1.
Students will be awarded the certificate if they complete a two-semester foundational sequence in statistics (e.g., EDUC 8230/8240, PSYC 5741/5751, SOCY 5111/6111) as well as a minimum of four additional courses from the approved list below, at least one of which must be outside the student’s home department.
The guidelines serve as a minimum threshold for the application process. However, each student's advisor may require their students to take more than the minimum of 6 courses, or to decide that certain courses are not sufficiently rigorous to count towards the certificate. The application will then be reviewed by a cross-disciplinary committee to evaluate whether the course plan meets the certificate requirements.
Required Courses and Credits
|Foundational Sequence in Statistics|
|Sequence examples: 1||6|
|Quantitative Methods I|
and Quantitative Methods II
and General Statistics
|Data 1: Introduction to Social Statistics|
and Data 2: Data Analysis
|Choose a minimum of four: 2||12|
|Quasi-Experimental Design in Causal Inference in Social Sciences|
|Categorical Data Analysis|
|Measurement in Survey Research|
|Advanced Topics in Measurement|
|Statistical Genetics for Complex Traits|
|Advanced Statistics and Research Methods in Integrative Physiology|
|Design and Analysis of Experiments in Business|
|Research Design and Methods in Management|
|Maximum Likelihood Estimation and Generalized Linear Models|
|Biometrical Methods in Behavioral Genetics|
|Special Topics in Psychology|
|Structural Equation Modeling|
|Issues and Methods in Cognitive Science|
|Topics in Advanced Structural Equations Modeling|
|Data III--Advanced Data Analysis|
|Total Credit Hours||18|
Students from a department that does not offer a two-semester sequence of this nature are welcome to take one of the three sequences listed above, and are encouraged to contact the instructors of those sequences to determine which of them would provide the best fit.
At least one must be outside the student’s home department.