About the MSQE program
Better Decisions through Economic Analysis.
The MS in Quantitative Economics delivers structured thinking about empirical problems and incentives. The program integrates econometrics, machine learning, experimentation, and hands-on analysis of real-world data, all guided by economic theory. This ten-month, full-time program prepares students for data-driven careers or PhD study. Small classes, expert faculty, and Cal Poly’s Learn by Doing approach provide close mentorship and practical training in economics-based analytics and consulting. Graduates secure roles as economists, consultants, data analysts, and data scientists in finance, tech, government, consulting, academia, and other private and public organizations.
Industry-Aligned Curriculum
The MS in Quantitative Economics curriculum emphasizes a comprehensive analytical toolkit rooted in economic theory, focusing on: (1) identifying cause-and-effect relationships in real-world data, (2) evaluating the economic impact of organizational decisions, and (3) assessing the risk-adjusted optimality of those decisions.
We developed and refined the curriculum in consultation with leading economists, consultants, and data scientists from Amazon, Google, OnPoint Analytics, Spotify, DevTech, Streamlit, and Zillow to ensure alignment with real-world industry needs.
Faculty Support from Day One
Students begin working with faculty on empirical research projects early in the program, gaining firsthand experience with the practical power of their training.
Through a unique collaboration with Cal Poly’s Digital Transformation Hub, powered by Amazon Web Services (AWS), students engage with public and international organizations like The World Bank on real-world challenges. These projects allow students to build skills using proprietary datasets while contributing to global development efforts and addressing issues central to each organization’s mission.
Outstanding Job Placements
Graduates of Cal Poly’s MS in Quantitative Economics program enjoy outstanding job placement across diverse industries. They’ve launched careers in finance, consulting, analytics, research, government, healthcare, and tech, with employers such as J.P. Morgan, Booz Allen Hamilton, Oracle, Uber, KPMG, and the U.S. Army Corps of Engineers. The program’s emphasis on quantitative analysis and critical thinking equips graduates for rapid career growth and leadership roles.
Many graduates are also well-prepared to pursue doctoral study at top PhD programs, should they choose to continue their education.
YOUR FUTURE BEGINS NOW
Fall 2026 Application Cycle Opens: October 1, 2025
Join a rigorous economics program that blends theory with real-world application. Gain hands-on experience, close faculty mentorship, and practical training. Cal Poly’s MS in Quantitative Economics prepares you for impactful careers or PhD study in a data-driven world.
Economics in Action
Modern economists must master advanced theory, experimentation, econometrics, machine learning, and programming—skills essential across the private, public, and nonprofit sectors. Our rigorous curriculum builds this expertise through technically sound instruction and complex, real-world empirical assignments from day one.
Distinguished Faculty
From the start of the program, students collaborate with expert faculty on applied research. Small class sizes foster close mentorship, while real-world projects help students connect economic theory to practice and build skills that translate directly to impactful career paths.
Student Success in Economics
Ruslan Adamovics-Davtian
Manvin Bhatia
Mary Howe
Danny Klinenberg
Information Sessions
Join us for an upcoming information session—offered on campus or virtually—to learn more about our graduate business programs. Program Directors will present key details about the program—including curriculum, admissions process, and more—and will be available to answer your questions.
Information Sessions return October 2025.
Check back soon—or email gradbusiness@calpoly.edu to be notified when dates are posted.