• 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 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.