Graduate Catalog
Cognitive Science Graduate Certificate Program

Cognitive Science Graduate Certificate Program (Interdisciplinary)

The primary objective of this certificate is to supply graduate students interested in Cognitive Science with interdisciplinary training in the 3 major fields of Cognitive Science, Cognitive Psychology, Artificial Intelligence, and Linguistics. The focus of these courses is to develop core competencies to support research in cognitive science as well as applications in human-computer interaction, information systems, advertising and marketing, and design. While the program will be administered by the Institute for Intelligent Systems, the courses are being taught by seven different departments in four different colleges (Arts and Sciences, Communication Sciences and Disorder, Engineering, and Education).

A. Admissions Requirements

Applicants to the Cognitive Science Graduate Certificate may be admitted in any semester. The Governance Board (below) will serve as the Admissions Committee. The certificate will be promoted across all departments in the University and within the Institute for Intelligent Systems. Students currently admitted to a graduate program at the U of M may apply for admission. In rare instances, students who have not been admitted to a graduate program must apply to the Graduate School for admission as Non-Degree Seeking students; they will be considered for admission on an individual basis.

B. Program Requirements

The program requires completion of 15 semester credit hours distributed as follows:

  1. The following course is required: PSYC 7514-8514, Seminar: Cognitive Science (Same as COMP 7514-8514)
  2. One of the following courses is required:
    • PSYC 7207-8207, Developmental Psychology
    • PSYC 7211-8211, Cognitive Processes
    • PSYC 7222-8222, Psychology of Human Memory
    • PSYC 7701-8701, Behavioral Neuroscience
  3. One of the following courses is required:
    • COMP 7720-8720, Artificial Intelligence (Same as EECE 7720-8720)
    • COMP 7740-8740, Neural Networks (Same as EECE 7740-8740)
    • COMP 7745-8745, Computational Intelligence
    • COMP 7760-8760, Control of Autonomous Agents
  4. One of the following courses is required:
    • AUSP 7006-8006, Language and Speech Development
    • AUSP 7011-8011, Psycholinguistics
    • ENGL 7511-8511, Survey of Linguistics
    • ENGL 7512-8512, Morphology and Syntax
  5. Electives: Total credits: 3 hours (1 course)
    One of the following courses is required outside of the student's field. Other elective courses may be selected in consultation with the program director.
    • AUSP 7006-8006, Language and Speech Development
    • AUSP 7008-8008, Acoustic and Perceptual Phonetics
    • AUSP 7011-8011, Psycholinguistics
    • COMP 6720, Introduction to Artificial Intelligence (Same as EECE 6720)
    • COMP 7720-8720, Artificial Intelligence (Same as EECE 7720-8720)
    • COMP 7740-8740, Neural Networks (Same as EECE 7740-8740)
    • COMP 7745-8745, Computational Intelligence
    • COMP 7760-8760, Control of Autonomous Agents
    • COMP 7780-8780, Natural Language Processing (Same as PSYC 7221-8221)
    • ECE 7216-8216, Computer Vision
    • ENGL 7511-8511, Survey of Linguistics
    • ENGL 7512-8512, Morphology and Syntax
    • IDT 7070-8070, The Instructional Design Process I
    • IDT 7074-8074, Theories and Models of Instructional Design
    • IDT 7090-8090, Development of Interactive Learning Environments I
    • PSYC 7301-8301, Research Design and Methodology
    • PSYC 7207-8207, Developmental Psychology
    • PSYC 7211-8211, Cognitive Processes
    • PSYC 7222-8222, Psychology of Human Memory
    • PSYC 7514-8514, Seminar: Cognitive Science (repeatable; Same as COMP 7514-8514)
    • PSYC 7701-8701, Behavioral Neuroscience
    • PHIL 6421, Philosophy of Mind

C. Graduation Requirements:

  1. The student must complete all five Courses (4 required, 1 elective) with an average grade of B (3.0) or higher, for a total of 15 credit hours.
  2. In the semester of graduation, the student must submit the Intent to Graduate form to the Graduate School and a Graduate Certificate Candidacy form to the College Director of Graduate Studies by the deadline specified by the Graduate School.

NOTE: An interdisciplinary governance structure will manage and oversee the graduate certificate with primary leadership and accountability based in the Institute for Intelligent Systems.

The Associate Director of the Institute for Intelligent Systems will be the graduate coordinator for the program and will advise students regarding courses. This advising process will include an introductory meeting with students entering the certificate that focuses on course options and course prerequisites for later electives. The program will also have a Governance Board. The Board will consist of 6 members. Members will come from the Institute for Intelligent Systems or affiliated departments.

Cognitive Science Graduate Certificate Governance Board

  • Danielle McNamara, Director, Institute for Intelligent Systems and Professor of Psychology, Co-Chair
  • Andrew Olney, Associate Director, Institute for Intelligent Systems and Assistant Professor of Psychology, Co-Chair
  • Art Graesser, Professor of Psychology
  • Stan Franklin, Professor of Computer Science
  • Max Louwerse, Associate Professor of Psychology
  • Vasile Rus, Assistant Professor of Computer Science

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Last Updated: 2/5/13