Certificate in Data Analytics and Policy
The Certificate in Data Analytics and Policy prepares students to use analytics to tackle policy challenges in the public and private sectors. Students gain expertise in cutting-edge analytical methods relied upon by government agencies, research institutes, private companies, and nonprofit organizations. The program emphasizes the application of analytics to substantive issues to develop students into data-driven leaders.
The schedule for completing this five-course certificate program is flexible. Many students work full time while attending the program on a part-time basis. Courses are offered primarily online, although some courses may be offered onsite in Washington, D.C.
In addition to two required core courses on foundational statistical methods, students select three electives that cover a wide range of analytical methods, including machine learning, predictive analysis, text analysis, database management systems, computational modeling, civic technology, economic analysis, survey methodology, risk analysis, and data privacy.
Please note that this entry is for currently enrolled students only. The Certificate in Data Analytics and Policy program is not currently accepting new students.
Admissions Criteria for All Advanced Academic Programs
PROGRAM-SPECIFIC REQUIREMENTS
Please note that this entry is for currently enrolled students only. The Certificate in Data Analytics and Policy program is not currently accepting new students.
Program Requirements
Students in the Certificate in Data Analytics and Policy program must complete:
- Two required core courses
- Three elective courses
Please note that this entry is for currently enrolled students only. The Certificate in Data Analytics and Policy program is not currently accepting new students.
| Code | Title | Credits |
|---|---|---|
| Core Courses - Required | 6 | |
| Probability and Statistics | ||
| Quantitative Methods | ||
| Electives | ||
| Select three from the following list: | ||
| AS.430.600 | Web GIS | 4 |
| AS.430.601 | Geographic Information Systems (GIS) | 4 |
| AS.430.604 | Spatial Analytics | 4 |
| AS.430.606 | Programming in GIS | 4 |
| AS.470.605 | Global Political Economy | 3 |
| AS.470.608 | Public Policy Evaluation & the Policy Process | 3 |
| AS.470.624 | Healthcare Analytics and Policy | 3 |
| AS.470.627 | Financial Management & Analysis in the Public Sector | 3 |
| AS.470.631 | Economics for Public Decision-Making | 3 |
| AS.470.636 | 3 | |
| AS.470.643 | Text as Data | 3 |
| AS.470.645 | The Budgetary Process | 3 |
| AS.470.662 | Expertise and Evidence in Policymaking | 3 |
| AS.470.667 | Machine Learning Methods and Applications | 3 |
| AS.470.669 | Math for Data Scientists | 3 |
| AS.470.671 | Risk Management Analytics | 3 |
| AS.470.673 | Data Visualization | 3 |
| AS.470.694 | Big Data Management Systems | 3 |
| AS.470.699 | Applied Performance Analytics | 3 |
| AS.470.703 | Urban Data Analytics | 3 |
| AS.470.708 | Unleashing Open Data with Python | 3 |
| AS.470.731 | Privacy in a Data-driven Society | 3 |
| AS.470.743 | Data Mining and Predictive Analytics | 3 |
| AS.470.745 | Terrorist Financing Analysis and Counterterrorist Finance Techniques | 3 |
| AS.470.758 | Data-Driven Campaigns and Elections | 3 |
| AS.470.763 | Database Management Systems | 3 |
| AS.470.764 | Survey Methodology | 3 |
| AS.470.768 | Programming and Data Management | 3 |
| AS.470.769 | Data Science for Public Policy | 3 |
| AS.470.779 | Computational Modeling for Policy and Security Analysis | 3 |
| AS.470.798 | Financial Management and Analysis in Nonprofits | 3 |
| AS.470.835 | DC Lab: Politics, Policy, and Analytics | 3 |
| AS.473.602 | Intelligence Analysis | 3 |
| AS.472.611 | Analyzing Social Media and Geospatial Information | 3 |
| AS.472.612 | Geospatial Analysis: Communicating with Multiple Audiences | 3 |