Program Components The rigor of the MIT Sloan Master of Business Analytics program prepares students for careers that apply and manage modern data science to solve critical business challenges. The curriculum consists of five required fundamental subjects, one required Analytics Capstone project, one required project class, six three-hour modules, one pro-seminar, and a minimum of three focused electives. The schedule of the program is as follows: Fall Term: Welcome Orientation Software Tools Part 1: Module ST1: Introduction to RModule ST2: Data Wrangling in R 15.093J/6.255J: Optimization Methods 15.079: Introduction Applied Probability or 6.431 Applied Probability 15.062: Data mining: Finding the Data and Models that Create Value 15.572: Analytics Lab Elective 1 Fall Sloan Innovation Period: Software Tools Part 2: Module ST3: VisualizationModule ST4: Linear Optimization From Analytics to Action: Modules on Organizations, Leadership and Ethics January Independent Activities Period: Preparation for Analytics Project Course Software Tools Part 3: Module ST5: Optimization Module ST6: Handling Big Data Spring Term: 15.071: The Analytics Edge Elective 2 Elective 3 Analytics Project Course Summer Capstone: The culmination of the program is the analytics summer capstone project, which gives students an opportunity to work on real-life data science problems. In September, upon completion of the summer capstone, students will earn their formal degree. Approved Electives Approved electives include but are not limited to the following: E-Commerce: 15.567, 15.570, 15.571, 6.932/15.377J Finance: 15.433, 15.437, 15.439, 15.450 Managerial Economics: 15.034 Marketing: 15.810/15.812, 15.818, Marketing Analytics OM: 15.761, 15.762J, 15.764J, 15.767 OR/Statistics: 6.867, 15.068, 15.094 Subject listings are intended to provide a window into MIT offerings. Names, numbers, instructors, and descriptions are subject to change. For the most up-to-date information, please see the MIT subject catalog.