Turn data into decisions. Turn technology into public impact.
The Cornell Brooks School's Master of Science in Data Science for Public Policy (MS-DSP) prepares future leaders to use data science, artificial intelligence, and analytics to solve complex challenges facing governments, organizations, and communities.
This 12-month, Ivy League, STEM-designated graduate program combines technical training in data science and machine learning with the policy expertise needed to responsibly apply technology in the real world.
The MS-DSP prepares students to harness data, analytics, and emerging technologies to solve complex public challenges.
As governments, nonprofits, and organizations increasingly rely on data-driven decision-making, today’s leaders need more than technical expertise. They need the ability to evaluate policy implications, navigate ethical considerations, and apply technology responsibly to create meaningful public impact.
Students develop expertise in areas including:
Graduates leave with the interdisciplinary knowledge and practical skills to responsibly leverage technology, inform public policy, and drive positive change across the public, private, and nonprofit sectors.
The MS-DSP is designed for students and professionals who want to combine technical expertise with public impact.
You may be a strong fit if you:
Students may come from fields such as:
Cornell recognizes that graduate education is a significant investment. Financial support options are available to help qualified students pursue this innovative STEM program.
Tuition and Fees
$62,588
Includes tuition and fees, along with estimated indirect costs such as housing, food, books, transportation, and personal expenses.
Students may be considered for:
Merit scholarships are automatically considered during the admissions process. No separate scholarship application is required.
The MS-DSP prepares graduates for careers where technical expertise and policy understanding intersect.
Graduates may pursue roles such as:
Career sectors include:
Learn From Experts Shaping Technology and Policy
MS-DSP students learn from faculty working at the forefront of artificial intelligence, technology governance, mathematics, and public policy.
Anne Byrne
Assistant Teaching Professor; Faculty Director of MS Programs
Areas of Expertise:
Professor Byrne helps students use data, visualization, and economic analysis to inform public policy and improve decision-making across government and nonprofit organizations.
Benjamin Goldman
Assistant Professor
Areas of Expertise:
Professor Goldman uses big data to better understand economic inequality and identify policies that expand opportunity for individuals, families, and communities.
Zhuan Pei
Associate Professor; Executive Director of the Cornell Federal Statistical Research Data Center
Areas of Expertise:
Professor Pei develops data-driven methods to evaluate public programs and measure their impact on employment, economic opportunity, and social policy.
With advanced training in coding, statistics, and ethical decision-making, MS-DSP graduates are well positioned for high-demand careers across the public, private, and nonprofit sectors. According to recent data, professionals with expertise in data science and public policy earn:
Your investment in the MS-DSP delivers more than a strong return on earnings—it equips you with the skills to use data and technology to create meaningful public impact.
Latest News
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