
Policy Analytics
With advanced training in data analysis, visualization, and policy evaluation, students are prepared to analyze public policy problems using cutting edge techniques and to communicate their insights to a broad audience.
Program overview
The Policy Analytics concentration equips students to harness data to generate insights and solutions to pressing public problems. With advanced training in data analysis, visualization, and policy evaluation, students are prepared to analyze public policy problems using cutting edge techniques and to communicate their insights to a broad audience.
Why study Policy Analytics?
Describe the most compelling reasons for why students should study this program and why they should study it at your college.
Consider using additional headings, what would be H3’s, to break up content into digestible sections that are more user-friendly.
Impressive statistics, program rankings, notable industry partnerships, and details related to the student experience are great topics to discuss here.
Be mindful to continue using related references to this degree (how you typically speak about the program). Aim to have a 1%—2% density of your primary keyword but avoid “keyword stuffing” (overusing your keywords in unnatural ways).
Suggested word count: 70—150 words per paragraph
Suggested number of additional H3’s: Maximum of three
What can you do with an MPA in Policy Analytics after graduation?
What could life look like for a graduate with a degree in your program? What are potential job titles and who are potential employers?
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Featured Courses
HBS 503: Administrative Law and Regulatory Policymaking
Legal foundations of the administrative state. Agency implementation of legislation through rulemaking, enforcement, and adjudication. Legislative oversight, executive control, and judicial review of agency actions.
HBS 512: Research Design and Data Acquisition
Methods for planning and executing research from experiments to case studies. Development of research questions and hypotheses, measurement issues, and validity of inferences. Basic assumptions and techniques of research in public policy including measurement, analysis, acquiring and reporting data.
HBS 513: Data-Driven Decisions
Methods and analytic tools used to translate data into models and forecasts to support public decision-making. Emphasis on econometric and simulation approaches, including linear regression and maximum likelihood methods.
I chose the Baker School because I was looking for an online MPA program from a recognized school that would bring value to my career. I believe the Baker School’s program does that.
John Briggs

