This cutting-edge program empowers students to tackle meaningful policy challenges using analytics. Students graduate with the expertise to be data-driven decisionmakers and policy leaders in both the public and private sector.

Degree Type:
Master of Science
Entry Terms:
Fall, Spring, and Summer
Mode of Study:
Online
Requirements:
10 courses
Time to Complete:
16 – 24 months

MS in Data Analytics and Policy Program Overview

The Johns Hopkins online MS in Data Analytics and Policy prepares students to tackle meaningful policy challenges using cutting-edge analytics.

Learn on Your Terms

This 100% online data analytics and policy program offers a flexible schedule with start dates in the fall, spring, or summer. Attend full- or part-time and complete your degree in about two years. If you’re in the D.C. area, you’ll also have the option to join us on campus for a few electives.

Data Analytics and Policy Master’s Student Outcomes

Core Skills Gained in Data Analytics and Policy

The MS in Data Analytics and Policy program is designed to help you connect quantitative analysis with real-world policy questions. You’ll develop advanced knowledge and skills in statistics, research design, programming, data management, data visualization, machine learning, and quantitative policy analysis. Just as important, you’ll learn to interpret analytical results and communicate them to decision-makers and the public. Those capabilities are sought after by organizations that need professionals who can determine what the data means, evaluate evidence, identify patterns, and translate findings into actionable recommendations. The program also emphasizes applied projects, giving you several opportunities to demonstrate your analytical capabilities through tangible work.

Data Analytics and Policy Master’s Courses

Below are a few examples of data analytics and policy master’s courses that you can take as part of our program. These courses will help you gain the skills you need to advance in your career and improve your abilities. As part of the program, you will be expected to take required core classes as well as choose from relevant electives to complete your degree.

  • Introduction to Data Analytics and Policy
  • Machine Learning Methods and Applications
  • Programming and Data Management
  • Machine Learning and Neural Networks
  • Big Data Analytics: Tools and Techniques

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In-Depth Articles

Why You Should Consider a Career in Data Analytics

On the Advance Blog

Demand for data analysts is growing and skilled professionals have a host of pathways to advance in their field or break into a new one, contributing to organizations large and small across many industries and fields.

Why to Pursue an MS in Data Analytics and Policy

Customize Your Curriculum

Students may choose to organize their studies in one of three optional focus areas: Data Science and Quantitative Research Methods; Politics, Policy Analysis, and Public Management; or Geospatial Analysis

Top-Tier Faculty and Seasoned Practitioners

You will learn from faculty members who are top scholars and researchers in their field, as well as from practicing data scientists, risk management consultants, policy analysts, software developers, and other data and policy professionals.

Prime Location to Learn and Work

Washington, D.C. is an ideal place for data and policy analysts. Every federal government agency, from the CIA to the EPA, is expanding its analytical capacity. Because AAP is based here, you’ll have access to a faculty with real-world experience at top agencies and policy organizations.

Center for Data Analytics, Policy, and Government

Our mission, to provide a strong foundation of knowledge upon which innovative policy programs and promising leaders can develop, informs all of The Center’s initiatives. The Center encompasses several degrees and certificate programs designed to enhance understanding of the processes of government and global security.

Take the Next Step

Develop expertise in analytical and critical thinking skills and prepare to help organizations make data-driven decisions that positively impact society.

Contact Us for More Information

Advanced Academic Programs Admissions

Master’s in Data Analytics and Policy FAQs

Johns Hopkins University’s MS in Data Analytics and Policy program is a 10-course, 30 credit STEM-certified professional master’s degree program – often completed within 16-24 months, though students have up to five years for degree completion. Courses are offered 100-percent online.

The admissions criteria for the MS in Data Analytics and Policy program includes a bachelor’s degree from a regionally accredited U.S. college or university, or an equivalent international credential, with a minimum grade point average of 3.0 on a 4.0 scale. The application can be completed online and requires supporting materials, including resume, transcripts, and more.

Tuition and fees for the MS in Data Analytics and Policy program currently are $52,400. The cost per course is $5,140. Students may be eligible to access federal loans, employer tuition assistance, military and veterans benefits, or partner-organization benefits to offset the cost of the degree. Learn more about financial aid options.

Students may choose to organize their studies in one of three optional focus areas: Data Science and Quantitative Research Methods; Politics, Policy Analysis, and Public Management; or Geospatial Analysis.

Yes. Students develop and execute an original data analysis project related to public policy, politics, or governance, using the skills, tools, and knowledge they have acquired throughout the program.

Graduates often pursue positions such as:

  • Data analyst
  • Data scientist
  • Policy analyst
  • Research analyst
  • Business intelligence analyst
  • Quantitative analyst
  • Program evaluation analyst

Career direction can vary depending on the electives and focus area of choice, including data science and quantitative research methods, politics, policy analysis and public management, or geospatial analysis.

The US Bureau of Labor Statistics projects employment of data scientists to grow 35% from 2025 to 2035, much faster than average, with a median annual wage of $120,230 in May 2025. Not every graduate will pursue a data scientist position, but this example illustrates the broader demand for advanced data analysis knowledge and skills.

Data analytics and policy professionals work wherever organizations need evidence to inform decisions. Potential industries include:

  • Government
  • Public policy
  • Consulting
  • Technology
  • Finance
  • Healthcare
  • Nonprofit organizations
  • Education
  • Research

Within these sectors, graduates might contribute to policy development, program evaluation, strategic planning, operations, market analysis, or public-sector decision-making

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