This course is meant for students in engineering and other disciplines who seek a challenging, interactive, team-based, and hands-on learning experience in entrepreneurship and technology. In this highly experiential course, students work in simulated start-up teams to create products or start-up ideas to address a broadly-defined need of an industry partner or social challenge.

**This course counts towards the Sutardja Certificate in Technology and Entrepreneurship. Additional information: https://scet.berkeley.edu/courses/ ** The success of all companies, whether Silicon Valley start-up or multi-national giant, is predicated on the competitiveness of the underlying business model. Technology is a commodity, and business success cannot be founded on technology disruption alone. Success is instead founded on disruptive business models, with disruptive technology acting in a supporting role. The dominant business model of the future will be data-driven and is best exemplified by Google and Amazon. Successful companies, regardless of size, will need to emulate Google and Amazon by building competitive, data-driven business models, with their traditional products serving principally as channels for data collection. In this course, students will discover and develop disruptive data-driven business models for both legacy companies and next-generation start-ups. Specifically, students will develop an understanding of available data sources, use statistical and machine learning techniques to discover the value in the data, and define pricing and customer models that lead to disruptive new businesses. This Challenge Lab is for upper division math, statistics, economics, IEOR and computer science students with a strong understanding of data, statistics and machine learning.

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