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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
  • 6.938 - Engineering Risk-Benefit Analysis
  • 15.071 - The Analytical Edge
  • 15.768 - Management Services: Concepts, Design, and Delivery
  • 16.888/ESD.77 - Multidisciplinary System Design Optimization

Subjects in Transportation Systems

  • 1.202J/ESD.212J - Demand Modeling
  • 1.207 Computer Algorithms in Systems Engineering
  • 1.224J/ESD.204J - Carrier Systems
  • 1.225J/ESD.205J - Transportation Flow Systems
  • 1.260J/15.770J - Logistics Systems
  • 1.270J/ESD.273J - Logistics and Supply Chain Management
  • 16.72 - Air Traffic Control
  • 16.74 - Air Transportation Economics
  • 16.77J/1.206J - Airline Operations Research
  • 16.781J/1.231J - Planning and Design of Airport Systems

Subjects in Economics and Finance

  • 14.381 - Statistical Methods in Econometrics
  • 14.382 - Econometrics I
  • 14.383 - Econometrics II
  • 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 Analytics of Finance II

Subjects in Optimization Techniques

  • 6.231 - Dynamic Programming and Stochastic Control
  • 6.251J/15.081J - Introduction to Mathematical Programming
  • 6.252J/15.084J - Nonlinear Programming
  • 6.256 - Algebraic Techniques and Semidefinite Optimization
  • 6.291 - Seminar in Systems, Communications, and Control Research
  • 6.854J/18.415J - Advanced Algorithms
  • 6.855J/15.082J - Network Optimization
  • 6.859J/15.083J - Combinatorial Optimization
  • 15.094/1.142J - Systems Optimization: Models 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 - The Theory of Operations Management

Subjects in Statistics and Machine Learning

  • 6.867 - Machine Learning and Neural Networks
  • 9.520 - Statistical Learning Theory and Applications
  • 15.065 - Decision Analysis
  • 15.067 - Competitive Decision Making and Negotiation
  • 15.068 - Statistical Consulting
  • 15.076 - Statistical Theory and Data Analysis
  • 15.077 - Statistical Theory and Data Mining
  • 15.097 (Spring 2012) - Prediction: Machine Learning and Statistics
  • 18.100B - Analysis I
  • 18.101 - Analysis II
  • 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

  • 15.568 - Management Information Systems
  • 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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