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Why the Master of Science in Analytics at UChicago?

UChicago crest in stone.

The University of Chicago Graham School Master of Science in Analytics (MScA) degree candidates work and study in an analytics atmosphere guided by the University of Chicago’s tradition of intellectual rigor, interdisciplinary inquiry, and innovative exploration. The MScA curriculum is a balanced mix of these core values to ensure that students thrive in and shape the future of the ever-evolving analytics field.


While the MScA program is designed to prepare students to apply analytics skills against real-world questions, core courses are taught with a rigorous exploration of analytics theory. Students develop a solid theoretical foundation to apply analytical tools flexibly and creatively.


Following the University of Chicago’s tradition in interdisciplinary research and learning, the MScA program enables students with diverse backgrounds to apply the core analytical methodologies across fields, ranging from big-data, predictive, and real-time analytics to business analytics applications like financial analytics, marketing analytics, and health care analytics. Students also benefit from the University’s interdisciplinary approach to learning by taking classes and participating in the teaching, learning, and networking activities of other departments.


Analytics has become the new platform for innovation and entrepreneurship. MScA students contribute to University of Chicago based entities such as the Polsky Center for Innovation and Entrepreneurship and Chicago Innovation Exchange and have the opportunity to connect with many analytically-minded University of Chicago alumni working in the field. The MScA program faculty and staff work closely with emerging analytics-based startups and entrepreneurs so that MScA students may participate in the analytics-based revolution transforming the market.

Apply now to find your spot among the next generation of Analytics leaders.


Connect with the MScA program to learn more about our curriculum or to discuss exploring your organization’s questions with analytics.