The Berkeley Master of Analytics degree program is designed to meet the rapidly rising demand for professionals skilled in analytical methods and tools for data-driven decision making to address complex business challenges across industries ranging from e-commerce to healthcare, from transportation to energy. These challenges often relate to the design, analysis, and efficient operation of systems involving supply chains, energy, pricing, capacity planning, financial engineering, and risk management. The Master of Analytics program will train students in data-driven analytical methods and tools for optimization, statistics, simulation, and risk management with relevant industry context so that the graduates are not only highly skilled in the latest tools and fluent with working with large data sets, but also are able to raise the right questions to develop innovative models and find creative solutions to rapidly changing business and industry challenges, and communicate and implement their solutions.

The one-year Master of Analytics degree program starts with a two-week intensive Python crash course (50 hours) in the summer before the Fall semester. After completing core courses on analytical methods covering optimization, statistics, simulation, and data analytics in the Fall semester, students will study elective courses on decision analytics with industry context along with an analytics lab course, where starting from raw data, they will develop end-to-end analytics projects in teams in the Spring semester. Learning goals of the program include agile analytics development, technical communication, and project presentation. The program will culminate with a ten-week summer internship, in which students will deploy their skills on real challenges.