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The following list indicates subjects frequently taken by Operations Research Center students pursuing a doctoral degree in operations research. .

In addition to strictly OR-related subject areas (e.g., optimization techniques, probabilistic modeling), students often take courses in applied mathematics, in disciplines closely related to operations research (e.g., statistics, computer science, finance, economics), and in various application areas (e.g., urban service systems, management science, manufacturing, transportation systems).

Subjects in Probabilistic Modeling

  • 2.997 - Advanced Topics in Mechanical Engineering
  • 6.262 - Discrete Stochastic Processes
  • 6.265J/15.070J - Advanced Stochastic Processes
  • 6.431 - Applied Probability
  • 6.436J/15.085J - Fundamentals of Probability (previously offered as 6.975)
  • 15.098 - Special Seminar in Applied Probability and Stochastic Processes
  • 18.440 - Probability and Random Variables

Subjects in Applied Operations Research

  • 1.203J/6.281J/11.526J/13.665J/15.073J/16.76J - Logistical and Transportation Planning Methods
  • 15.071 - The Analytical Edge
  • 15.768 - Management Services: Concepts, Design, and Delivery
  • 16.888J/ESD.77J - Multidisciplinary System Design Optimization

Subjects in Transportation Systems

  • 1.202J/ESD.212J - Demand Modeling
  • 1.207 Computer Algorithms in Systems Engineering
  • 1.233J/16.763J Air Transportation Operations Research
  • 1.260J/15.770J - Logistics Systems
  • 16.72 - Air Traffic Control
  • 16.781J/1.231J - Planning and Design of Airport Systems

Subjects in Economics and Finance

  • 14.381 - Statistical Methods in Econometrics
  • 14.382 - Econometrics
  • 14.416J/15.416J Introduction to Financial Economics
  • 14.440J/15.440J Advanced Financial Economics I
  • 14.442J/15.442J Advanced Financial Economics III
  • 14.74 - Foundations of Development Policy
  • 15.012 - Applied Macro- and International Economics
  • 15.450 Analytics of Finance
  • 15.460 Applied Quantitative Finance

Subjects in Optimization Techniques

  • 6.231 - Dynamic Programming and Stochastic Control
  • 6.251J/15.081J - Introduction to Mathematical Programming
  • 6.252J/15.084J - Nonlinear Optimization
  • 6.256 - Algebraic Techniques and Semidefinite Optimization
  • 6.291 - Seminar in Systems, Communications, and Control Research
  • 6.854J/18.415J - Advanced Algorithms
  • 6.859J/15.083J - Integer Programming and Combinatorial Optimization
  • 15.082J/ESD.78J - Network Optimization
  • 15.094/1.142J - Robust Modeling, Optimization, and Computation
  • 15.099 - Special Seminar in Operations Research
  • 18.314 - Combinatorial Analysis
  • 18.315 - Combinatorial Theory

Subjects in Operations Management

  • 2.852 - Manufacturing Systems Analysis
  • 15.760 - Introduction to Operations Management
  • 15.761 - Operations Management
  • 15.762 - Supply Chain Planning
  • 15.764.1 - Inventory Theory and Supply Chains
  • 15.764.2 - Revenue Management and Pricing

Subjects in Statistics and Machine Learning

  • 6.867 - Machine Learning
  • 9.520 - Statistical Learning Theory and Applications
  • 15.068 - Statistical Consulting
  • 15.077 - Statistical Theory and Data Mining
  • 15.097 - Seminar in Operations Research and Statistics
  • 18.100B - Real Analysis
  • 18.175 - Theory of Probability
  • 18.338 - Eigenvalues of Random Matrices
  • 18.443 - Statistics for Applications
  • 18.445 - Introduction to Stochastic Processes
  • 18.465 - Topics in Statistics

Subjects in Management Science

  • 15.812 - Marketing Management

For more information on the subject listed above, go to the MIT Subject Listing & Schedule or the Stellar Course Guide.
Additional information may also be found on the MIT Open Courseware page.

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