About the Program
The 11-month Master of Analytics program trains 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.
50 hour Python Intensive
Core Analytical Methods Courses
Elective Courses + Analytics Lab
Internship (10 weeks)
The Berkeley Master of Analytics program is offered by the Department of Industrial Engineering & Operations Research. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management.
Analytics is an enabling degree bridging Operations Research and Industrial Engineering with crucial data skills.
#3 ranked IEOR Graduate Program in the U.S. (US News)
Operations Research refers to theory and methods for decision-making through data analysis, optimization, risk modeling, and simulation.
Industrial Engineering includes design, analysis, and efficient operation of industrial and business systems. These can be applied in areas such as logistics & supply chains, service operations, capacity planning, pricing, risk management, scheduling, financing, human resources.
4 units practicum, 25 units coursework, and a comprehensive exam