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Apply Your MQE Training Before You Graduate As an MQE student, you’ll have the opportunity to apply your data analytics and economic research skills to help corporate partners solve business challenges. Under the guidance of a faculty coach and industry professionals, MQE students work in small teams to conduct research and analysis regarding a specific […]

Spend Time with Today’s Leaders in the Field The Distinguished Speaker Series offers MQE students, faculty, and community members the opportunity to hear directly from accomplished economists and economic thought leaders from around the globe. 

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 for your future.

Prepare to Advance Your Career The Master of Quantitative Economics (MQE) is an intensive program that integrates theory and application and helps answer the call for employers seeking candidates with advanced training, quantitative skills, and practical experience.

Prepare for the Future with an MQE from UCLA The demand for talent with extensive quantitative, analytical, and financial training has never been stronger. The MQE program equips students with the applied concepts, technical tools and analytical skills needed to solve complex business problems facing corporations, government agencies and financial institutions.

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. 

Our MQE Students Make Extraordinary Employees UCLA’s Master of Quantitative Economics (MQE) program prepares industry-ready professionals with an eye towards leveraging data to offer unique business insights. Our students are highly trained in data analytics, finance, econometrics and machine learning.