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Johns Hopkins University Krieger School of Arts and Sciences (Advanced Academic Programs) 50 courses 30-32 total credits
The Master of Science in Data Analytics and Policy prepares students to use analytics to tackle policy challenges in the public and private sectors. Students graduate with 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 program includes six required core courses and four electives. The electives cover a wide range of analytical methods, including machine learning, predictive analytics, text analysis, spatial analytics (GIS), economic analysis, survey methodology, and policy analysis. The schedule for completing this 10-course degree program is flexible. The MS in Data Analytics and Policy program is offered primarily online and can be completed as a fully online program. Students in the Washington, D.C. area may have an opportunity to take some elective courses on campus.
Six Core Courses - Required
| Code | Course Title | Credits |
|---|---|---|
| AS.470.681 | Introduction to Data Analytics and Policy | 3 |
| AS.470.768 | Programming and Data Management | 3 |
| AS.470.673 | Data Visualization | 3 |
| AS.470.709 | Quantitative Methods for Policy and Political Analysis | 3 |
| AS.470.667 | Machine Learning Methods and Applications | 3 |
| AS.470.862 | Capstone for Data Analytics and Policy | 3 |
| Total Six Core Courses - Required | 18 credits | |
Electives
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