PROGRAM EVALUATION AND IMPACT ASSESSMENT
This Advanced Certificate provides training in assessing the effectiveness of funded, programmatic, and policy interventions. The curriculum is designed for evaluation researchers, social and community service managers, management analysts, and survey researchers, as well as policy professionals in domestic and international settings who are tasked with developing, funding, selecting, or assessing social programs.
As a result of the program, you’ll not only understand critical aspects of impacts in policy research, empirical methods, data analysis, and survey methods, but also walk away with the skills you need to work in government and nonprofit settings in roles examining the efficacy of policy interventions.
Students must successfully complete 15 credits to earn this Advanced Certificate. The curriculum is designed to be completed in three semesters, however students may take up to three years.
CURRICULUM
Required Courses:
Students must complete the following courses (9 credits):
| ✔ | Course Number | Course Name | Prerequisites | Typically offered | credits |
|---|---|---|---|---|---|
| CORE-GP.1011 | Statistical Methods | None | Fall, Spring, Summer | 3 | |
| PADM-GP.2171 | Evaluating Programs and Policies | CORE-GP.1011 | Fall, Spring, Summer | 3 | |
| PADM-GP.2902 | Multiple Regression and Introduction to Econometrics | CORE-GP.1011 | Fall, Spring, Summer | 3 |
Students must also choose and complete courses from the following (6 credits):
| ✔ | Course Number | Course Name | Prerequisites | Typically offered | credits |
|---|---|---|---|---|---|
| PADM-GP.2172 | Advanced Empirical Methods | PADM-GP.2902 | Fall | 3 | |
| URPL-GP.2618 | Geographic Information Systems | None | Fall | 3 | |
| PADM-GP.2875 | Estimating Impacts in Policy Research | PADM-GP.2902; and PADM-GP.2171 or permission from the instructor | Spring | 3 | |
| PADM-GP.4147 | Large Scale Data Analysis with Machine Learning I | CORE-GP.1011 | Spring | 1.5 | |
| PADM-GP.4148 | Large Scale Data Analysis with Machine Learning II | PADM-GP.4147 | Spring | 1.5 | |
| PADM-GP.4501 | Designing Data Collection for Program Evaluation, Policy, and Management | CORE-GP.1011 | Fall | 1.5 | |
| PADM-GP.4502 | Using Large Data Sets in Policy Research | PADM-GP 2902 | Fall | 1.5 | |
| PADM-GP.4505 | R Coding for Public Policy | CORE-GP 1011 | Fall, Spring | 1.5 | |
| PADM-GP.4506 | Python Coding for Public Policy | Fall, Spring | 1.5 |
Prerequisites:
The required CORE-GP 1011 must be taken in the first semester and it is a prerequisite to most other courses in the certificate. Students who are able to waive CORE-GP 1011 will be allowed to take an advanced elective in its place.
Note: Because PADM-GP 2172 Advanced Empirical Methods is only offered in the fall semester (and requires PADM-GP 2902 as a prerequisite), students who begin the certificate in the spring semester and wish to take the course should consider sequencing carefully. One option may be to enroll in PADM-GP 2902 in summer.
Authoritative curriculum information can be found exclusively in the University Bulletin. All other content, including this webpage, is for informational purposes only. You can find the curriculum for this program on this page of the Bulletin.
