Simulation, Modeling, and Applied Cognitive Science

Degrees Offered

Simulation, Modeling, and Applied Cognitive Science, Ph.D.

Application Deadlines*

January 31, 2014
2014 Fall semester (August)

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Simulation, Modeling, and Applied Cognitive Science, Ph.D.

Simulation, modeling and applied cognitive science describes a growing transdisciplinary field (including the disciplines of psychology, engineering and computer science) that explores how people interact with technological and social systems in contexts that include transportation, medicine, military, computing and other complex systems. Cognitive science provides the foundation necessary for integrating human capabilities and limitations into complex sociotechnical systems (i.e., the practice of cognitive engineering), and the application of cognitive science relies heavily on simulation and modeling methods.

A large domain exists in which coupling applied cognitive science with simulation and modeling is imperative. Examples include:

  • Development of intelligent agents.
  • Driving simulators for research on driver distraction.
  • Dynamical systems models of team interaction.
  • Gaming simulators for studying business decision-making.
  • Human-in-the-loop simulation studies of cyber security analysis.
  • Models of cognitive states and processes or sociocultural systems.
  • Medical simulation for health care research.
  • Nuclear control room simulation for improved human system integration.
  • Pilot training research using aircraft simulators.
  • Tests of future airspace control concepts using air traffic control simulators.
Career Opportunities 

This Ph.D. is designed to produce individuals who are well-grounded in simulation, modeling and cognitive science and skilled in its methods. Employers (e.g., Department of Defense, Federal Aviation Administration, Nuclear Regulatory Commission, hospitals) have an ever-increasing demand for personnel who can bridge the gap between rigorous science and solutions to real-world problems. The doctorate will provide transdisciplinary, research-driven training in the computing, engineering, technology, applied cognitive science and human systems integration. In addition to careers in the simulation and modeling industry and government laboratories, students should be well-suited for academic positions emphasizing cognitive science, artificial intelligence, applied psychology, human factors, and simulation.

Admission Requirements 

Applicants must meet the following admission requirements:

  • A master's in psychology, engineering, cognitive science, computer science or closely related field
  • Admission to the graduate degree program presupposes an adequate technical preparation in statistics, cognitive science and software programming.
  • Transcript from undergraduate and graduate programs
  • Official GRE general exam scores
  • Three (3) letters of recommendation
  • Submit a current resume or CV and statement of research interests as part of the online admissions application
  • Meet the English proficiency requirements, as defined by the Office of Graduate Education
  • Applications are accepted for the fall semester only. Application deadline for fall semester is January 31 of that calendar year.
Degree Requirements 

The Ph.D. in Simulation, modeling and applied cognitive science requires the following: 84 credit hours, a written comprehensive exam, an oral comprehensive exam, a prospectus and a dissertation.

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