Master of Science in Computational Analysis and Public Policy

The Master of Science in Computational Analysis and Public Policy at The University of Chicago is an interdisciplinary graduate program designed to equip students with advanced quantitative skills, rigorous analytical techniques, and a deep understanding of policy issues. This innovative program merges the fields of data science, political science, economics, and computer science to prepare graduates for impactful careers in public policy analysis, government, non-profit organizations, and the private sector. Students engage with a comprehensive curriculum that covers statistical methods, machine learning, data management, and visualization, alongside courses in public policy, political institutions, and economics. The program emphasizes hands-on experience through research projects, internships, and collaborations with policymakers and industry leaders, enabling students to apply theoretical knowledge to real-world challenges. Graduates will be prepared to analyze complex datasets, develop policy recommendations, and communicate findings effectively to diverse audiences. The program's multidisciplinary approach ensures that students gain both technical expertise and a nuanced understanding of the societal implications of their work. With access to the university’s cutting-edge research centers, extensive alumni network, and partnerships with government agencies and private organizations, students are uniquely situated to make meaningful contributions to public policy and social betterment. The MSc in Computational Analysis and Public Policy is ideal for individuals passionate about leveraging data-driven insights to solve urgent policy issues and improve governance and civic life at local, national, and international levels.

The Master of Science in Computational Analysis and Public Policy (MSCAPP) at the University of Chicago offers a rigorous interdisciplinary curriculum designed to equip students with the quantitative skills and analytical tools necessary to address complex public policy challenges. The program integrates advanced training in computational methods, data science, and statistical analysis with a comprehensive understanding of public policy theories and issues. Students will engage with coursework that covers computational modeling, data management, machine learning, and econometrics, enabling them to analyze large and complex data sets relevant to policy-making.

Throughout the program, students are encouraged to apply their technical expertise to real-world policy problems, collaborating with faculty who are experts in economics, political science, public affairs, and computer science. The curriculum also emphasizes ethical considerations and responsible data use, ensuring graduates are prepared to make informed and ethical decisions in their careers. In addition to technical skills, students develop critical thinking and communication abilities to effectively convey complex analytical insights to policymakers, stakeholders, and the broader public.

The program offers a combination of coursework, research projects, and practical experiences that prepare graduates for careers in government, non-profit organizations, research institutions, and the private sector. Students have access to world-class resources, including the university’s extensive data libraries and cutting-edge computational facilities. The program's flexible structure allows students to tailor their studies according to their interests, whether focusing more on technical methods, public policy analysis, or a blend of both.

Graduates of the MSCAPP program will emerge as highly skilled professionals capable of leveraging data-driven insights to inform policy decisions, develop innovative solutions to societal problems, and contribute to evidence-based policymaking. The program’s emphasis on interdisciplinary training ensures that students gain a well-rounded understanding of both the technical and societal aspects of public policy issues, positioning them for impactful careers at the forefront of public policy analysis and implementation.

The Master of Science in Computational Analysis and Public Policy (MSCAPP) program at the University of Chicago is designed to equip students with advanced quantitative skills and expertise in public policy analysis. The program typically requires completion of coursework totaling approximately 12-15 courses, including core and elective classes. Core courses often focus on mathematical methods, statistical analysis, data science, computational modeling, and policy analysis techniques, providing students with a robust foundation in both computational tools and policy principles.

Students are usually required to take classes in advanced quantitative methods, such as statistics, data analysis, machine learning, and computational modeling, alongside courses in public policy, economics, and social sciences to ensure a multidisciplinary perspective. Moreover, the program emphasizes practical experience, often involving a capstone project or thesis that entails applying computational and analytical methods to real-world policy issues.

In addition to coursework, students may need to participate in seminars, workshops, or research projects that enhance their understanding of current challenges in public policy and the role of data-driven decision-making. The program generally encourages collaboration with faculty on research initiatives in computational social science, policy evaluation, and related fields.

Program requirements also include maintaining a minimum grade point average and fulfilling any prerequisite coursework dictated by the program’s curriculum. Typically, students must complete the program within two years of full-time study. The program aims to prepare graduates for careers in government agencies, research institutions, or private sector organizations that rely heavily on data analysis and computational modeling. No specific language requirements are usually specified, as the entire program curriculum is conducted in English.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The University of Chicago offers a comprehensive financing package for students enrolled in the MSc in Computational Analysis and Public Policy (MSCAPP) program, designed to support students in managing the costs associated with their graduate education. Funding options typically include fellowships, scholarships, teaching assistantships, research assistantships, and federal financial aid programs where applicable. Merit-based fellowships and scholarships are awarded competitively based on academic achievement, professional experience, and potential for contributions to the field of computational analysis and public policy. These awards often cover partial or full tuition, enabling students to focus on their coursework and research activities without undue financial pressure. Additionally, teaching and research assistantship positions are available to qualified students, offering stipends and tuition remission in exchange for their work supporting faculty research projects or assisting in instructional duties. These positions not only provide financial benefits but also valuable professional experience valuable for career development. Furthermore, students may explore federal student aid options, including loans, through the Free Application for Federal Student Aid (FAFSA), if eligible. Some students might also secure external funding through government grants, private foundations, or industry partnerships that support graduate education in public policy and computational analysis. The university’s Office of Financial Aid provides detailed guidance and personalized advising to help students identify suitable funding sources and complete application processes efficiently. It is important for prospective and current students to carefully review the specific funding opportunities available each academic year, as they may vary based on funding availability and program updates. Overall, the University of Chicago is committed to making its MSc in Computational Analysis and Public Policy program accessible to talented students from diverse backgrounds through a robust financial support system geared toward reducing economic barriers to advanced education in this interdisciplinary field.

The Master of Science in Computational Analysis and Public Policy (MSCAPP) at the University of Chicago is an innovative graduate program designed to equip students with advanced quantitative skills and a deep understanding of policy analysis. The program integrates areas such as data science, economics, and political science to prepare graduates for careers in government, research institutions, and private sector organizations focused on public policy issues. Students in the MSCAPP program engage in rigorous coursework that covers statistical methods, computational techniques, machine learning, and data management, all tailored to address complex societal challenges. The curriculum emphasizes both theoretical foundations and practical applications, enabling students to develop skills in analyzing large datasets, constructing predictive models, and communicating findings effectively to policymakers and stakeholders.

The program typically includes coursework in causal inference, economic modeling, and policy evaluation, ensuring graduates can assess the impact of policy initiatives accurately. Alongside technical training, students gain experience in policy analysis, ethics, and communication, which are vital for effective advocacy and decision-making. The program often encourages interdisciplinary collaboration, allowing students to work on real-world projects with faculty from various departments such as economics, public policy, computer science, and social sciences.

Students may have opportunities for internships and research collaborations that provide practical experience in governmental agencies or research organizations. The program aims to develop well-rounded professionals who can design data-driven solutions to pressing public issues, including economic inequality, healthcare, education, and environmental sustainability. Graduates of the MSCAPP often pursue careers as data analysts, policy advisors, research scientists, or continue their education in doctoral programs. The program’s close proximity to Chicago’s vibrant policy and research environment, along with its faculty’s expertise, makes it a highly sought-after option for students interested in the intersection of computational methods and public policy. The university’s commitment to interdisciplinary research and societal impact underscores the program’s mission to produce graduates capable of translating complex data into actionable policy insights.