Academic Program in Engineering Risk Analysis within the MS&E Department

  • Masters of Science Program — Engineering Risk Analysis is one of the areas of concentration of the M.S. degree of the MS&E department
  • Doctoral Program — Engineering Risk Analysis is one of the options of the Ph.D. program of the MS&E department. Current coursework requirements specific to that program include (check the MS&E Home page for the latest requirements):
    MS&E 250a: Engineering Risk Analysis — The techniques of analysis of engineering systems for risk management decisions involving trade-offs (technical, human, environmental aspects) Four parts: elements of decision analysis; probabilistic risk analysis (fault trees, event trees, etc.); economic analysis of failure consequences (issues of human safety and longer-term economic discounting; and case studies (e.g., space systems, nuclear power plants, liquefied natural gas terminals, and dams). Emphasis is on risk management issues in the public and private sectors. Prerequisites: Statistics 116, Engineering 60, or equivalents. 3 units, winter quarter. Taught by Professor Patée-Cornell. [Description taken from the 1999-2000 Stanford Bulletin]
    • MS&E 250b: Project Course in Engineering Risk Analysis — Students, individually or in groups, choose, define, formulate, and resolve a real risk management problem, preferably from a local firm or institution. Oral presentation and report required. Scope of the project is adapted to the number of students involved. Three phases: risk assessment, risk communication, and risk management. Emphasis is on the use of probability for the treatment of uncertainties and sensitivity to problem boundaries. Enrollment limited and at discretion of instructor. Prerequisite: MS&E 250a. 3 units, spring quarter. Taught by Professor Paté-Cornell. [Description taken from the 1999-2000 Stanford Bulletin]
    • MS&E 350: Doctoral Seminar in Risk Analysis — Limited to doctoral students. Doctoral study including reading/review of the literature in the fields of engineering risk assessment and risk management. New methods and topics, emphasizing probabilistic methods and decision analysis. Applications to risk management problems involving the technical, economic, and organizational aspects of engineering system safety. Possible topics: treatment of uncertainties, learning from near misses, and use of expert opinions. 3 units, spring quarter. Taught by Professor Paté-Cornell. [Description taken from the 1999-2000 Stanford Bulletin]
    • MS&E 220: Probabilistic Analysis
    • MS&E 221 or Stat 217: Stochastic Modeling or Stochastic Processes
    • MS&E 252: Decision Analysis I
    • MS&E 250a or MS&E 352: (see above for 250a) or Decision Analysis II
    • MS&E 350 or MS&E 353: Doctoral Seminar in Risk Analysis or Decision Analysis
    • MS&E 250b or MS&E 452 or MS&E 473: Project Course in Engineering Analysis, Decision Analysis Practice, or Influence Diagrams & Probabilistic Networks
    • Stat 200, 201, or 202 or Econ 271: Introduction to Statistical Inference, Statistical Methods, Data Analysis, or Intermediate Econometrics II
    • MS&E 241 or MS&E 341: Economic Analysis or Advanced Economic Analysis
    • MS&E 223 or MS&E 323: Simulation or Stochastic Simulation
    • MS&E 211 or MS&E 311: Linear and Non-linear Optimization or Optimization
    • MS&E 201 or MS&E 302: Dynamic Systems or Optimal Dynamic Systems
    • MS&E 251 or MS&E 351: Stochastic Decision Models or Dynamic Programming and Stochastic Control