Congratulations to the UCLA MQE Class of 2025 – 2026! We are incredibly proud of our graduates and all they have accomplished throughout their time in the program. We wish them continued success as they embark on the next chapter of their careers and look forward to seeing the impact they make in their industries […]
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Professor and Department Chair, UCLA Economics mqe-office@econ.ucla.edu
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Professor of Economics and Faculty Director, UCLA MQE mqe-office@econ.ucla.edu
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Our top-ranked, STEM-designated graduate degree program unites a global community of students, scholars, and industry leaders committed to leveraging data science, finance, and economics to address society’s greatest challenges. Apply here!
Stand out in a data-driven world with a UCLA MQE degree – combining economics, finance, and business with a strong AI and quantitative focus. Blending theory with real-world application, MQE prepares you for in-demand roles with a more data-driven approach than an MBA and a more applied focus than a traditional Economics MA, guided by […]
Professor and MQE Faculty Advisor for APAC Engagement mqe-office@econ.ucla.edu
Professor and MQE Faculty Advisor for Data Science mqe-office@econ.ucla.edu
Our Team Course Offerings Applied Projects Distinguished Speaker Series Educating the Best and the Brightest UCLA has one of the top-ranked economics departments in the world. A Master of Quantitative Economics (MQE) degree from UCLA will prepare you to use data analysis and economic insights to inform real-world strategy—and can open doors to exciting opportunities […]
Associate Director, Academic Affairs morgan@econ.ucla.edu
Our Faculty Shape Policy and Inform Critical Issues The MQE program offers instruction from outstanding faculty who provide students with the opportunity to engage in critical discussion on a diversity of topics. Student-focused coursework and hands-on learning provide lifelong skills that will help you thrive over the course of your career.
Explore Our Rigorous Curriculum UCLA’s MQE is a 48-unit program that features a flexible timeline, so you complete your degree in 9 to 18 months. Throughout the program, you’ll gain exposure to R, Python, SQL, Excel and numerous financial tools and platforms.