HOME | MASTER OF BUSINESS ANALYTICS | PROGRAM COMPONENTS
HOME | MASTER OF BUSINESS ANALYTICS | PROGRAM COMPONENTS
  • 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.

    Core Subjects

    • The Analytics Edge (15.071, 12 units)
    • Applied Probability and Stochastic Models (15.073J, 12 units)
    • Analytics Capstone (15.089, 24 units)
    • Optimization Methods (15.093J, 12 units)
    • Analytics Lab (15.572, 9 units)
    • Machine Learning (15.680, H1, 6 units)
    • From Analytics to Action (15.681, H2, 6 units)

    Seminar (during SIP)

    Analytics Tools (15.003, 3 units)

    Approved Electives (3 to be chosen)

    Students select 27-48 units from the list of approved electives below:

    • Nonlinear Optimization (15.084J, 12 units, spring)
    • Robust Modeling, Optimization, and Computation (15.094J, 12 units, spring)
    • Media Ventures (15.376J, 9 units, spring)
    • Investment Management (15.439, 9 units, spring)
    • Analytics of Finance (15.450, 12 units, spring)
    • Algorithmic Trading and Quantitative Investment Strategies (15.487, 9 units, spring)
    • The Economics of Information: Strategy, Structure and Pricing (15.567, 6 units, fall)
    • Digital Marketing and Social Media Analytics (15.570, 6 units, fall)
    • Enterprise Transformations in the Digital Economy (15.571, 9 units, spring)
    • Introduction to Operations Management (15.761, 9 units, fall)
    • Supply Chain Planning (15.762J, 6 units, spring)
    • The Theory of Operations Management (15.764J, 12 units, spring)
    • Logistics Systems (15.770J, 12 units, fall)
    • The Analytics of Ops Management (15.774, 12 units, fall)
    • Marketing Management (15.810, 9 units, spring)
    • Product Management (15.828, 9 units, spring)
    • Marketing Analytics (15.841, 6 units, spring)
    • Consumer Behavior (15.847, 9 units, spring)
    • Introduction to System Dynamics (15.871, 6 units, fall)
    • Innovation Strategy (15.910, 6 units, spring)
    • Special Subject: Design (4.S02)
    • Network Science and Models (6.268, 12 units, spring)
    • Statistical Learning Theory and Applications (6.860J, 12 units, fall)
    • Applied Machine Learning (6.862, 12 units, spring)
    • Machine Learning (6.867, 12 units, fall)
    • Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (18.0651, 12 units, spring)

    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.

    Operations Research Center Approved Electives can be found here.