CURRICULUM The Master of Business Analytics program ensures that students have a strong understanding of the fundamentals of analytics, along with the experience to meet their career and personal goals. FALL TERM: Welcome Orientation Software Tools Part 1: Module ST1: Introduction to R Module 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: Visualization Module 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.