Students
Tuition Fee
Not Available
Start Date
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Medium of studying
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Duration
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Details
Program Details
Degree
PhD
Course Language
English
About Program

Program Overview


Doctor of Philosophy in Social and Engineering Systems

The Doctor of Philosophy in Social and Engineering Systems is a program offered by the Institute for Data, Systems, and Society.


Program Requirements

The program requires the following:


  • Orientation: IDS.900 Doctoral Seminar in Social and Engineering Systems (3 units)
  • Core: Select 12 units from three of the areas below:
    • Probability and Statistics:
      • 6.7700[J] Fundamentals of Probability
      • 18.6501 Fundamentals of Statistics
      • 18.655 Mathematical Statistics
      • IDS.160[J] Mathematical Statistics: a Non-Asymptotic Approach
      • IDS.131[J] Statistics, Computation and Applications
    • Social Science:
      • 17.850 Political Science Scope and Methods
      • 21A.809 Designing Empirical Research in the Social Sciences
      • 21A.819 Ethnographic Research Methods
    • Microeconomics / Causal Inference:
      • 14.121 & 14.122 Microeconomic Theory I and Microeconomic Theory II
      • 14.320 Econometric Data Science
      • 14.386 New Econometric Methods
      • 14.388 Inference on Causal and Structural Parameters Using ML and AI
      • 17.802 Quantitative Research Methods II: Causal Inference
  • Information Systems and Decision Science Focus: 54 units, including:
    • Five subjects in the areas of probabilistic modeling, statistics, optimization, or systems/control theory
    • One subject from the list of Statistical Processing of Data Subjects
    • One subject of substantial mathematical content
    • Two subjects belonging to a sequence that provides increasing depth on a particular topic
  • Social Science Focus: 42 units, including:
    • Four subjects that create a coherent and rigorous program of study in the social sciences
    • Three subjects comprising a coherent collection that builds depth in a particular social science focus area
  • Problem Domain Focus: 9 units, including:
    • Two subjects in the application domain of the student’s research
  • Teaching: IDS.960 Teaching in Data, Systems, and Society (20 units)
  • Research:
    • IDS.970 Pre-Thesis Research in Data, Systems, and Society (138 units)
    • IDS.THG Graduate Thesis (60 units)
  • Total Units: 326 units

Statistical Processing of Data Subjects

The following subjects are available:


  • 6.7810 Algorithms for Inference (12 units)
  • 6.7900 Machine Learning (12 units)
  • 9.520[J] Statistical Learning Theory and Applications (12 units)
  • 14.382 & 14.383 Econometrics and High-Dimensional Econometrics (6 units)
  • 15.077[J] Statistical Machine Learning and Data Science (12 units)
  • 16.391 Statistics for Engineers and Scientists (12 units)
  • 17.802 Quantitative Research Methods II: Causal Inference (12 units)
  • 17.804 Quantitative Research Methods III: Generalized Linear Models and Extensions (12 units)
  • 17.806 Quantitative Research Methods IV: Advanced Topics (12 units)
  • 18.6501 Fundamentals of Statistics (12 units)
  • 18.655 Mathematical Statistics (12 units)
  • IDS.131[J] Statistics, Computation and Applications (12 units)
  • IDS.160[J] Mathematical Statistics: a Non-Asymptotic Approach (12 units)
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