Cognitive Science Graduate Certificate

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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).

Admissions Requirements

Applicants to the Cognitive Science Graduate Certificate may be admitted in any semester. 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.

Program Requirements

The program requires completion of 15 semester credit hours, as this is an interdisciplinary certificate there is a requirement that either

Courses are chosen from three or more prefixes, or
Courses are chosen from two prefixes: 9 credits hours in one prefix and 6 credit hours in the second prefix.

Core Component (3 hours)

The following course is required:

PSYC 7514 -PSYC 8514 , Seminar: Cognitive Science (Same as COMP 7514 -COMP 8514 , PHIL 7514 -PHIL 8514 , and AUSP 7514 -AUSP 8514 ).

Cognitive Psychology Component (3 hours)

One of the following courses is required:

EDPR 7121 - Learning & Cognition ** Credit Hours: (3)
EDPR 8121 - Learning & Cognition Credit Hours: (3)
EDPR 7149 - Sem Cognitive Processes Credit Hours: (3)
EDPR 8149 - Sem Cognitive Processes Credit Hours: (3)
PSYC 7207 - Developmental Psyc Credit Hours: (3)
PSYC 8207 - Developmental Psyc Credit Hours: (3)
PSYC 7208 - Psyc Of Perception Credit Hours: (3)
PSYC 8208 - Psyc Of Perception Credit Hours: (3)
PSYC 7211 - Cognitive Processes Credit Hours: (3)
PSYC 8211 - Cognitive Processes Credit Hours: (3)
PSYC 7213 - Cognitive Science Credit Hours: (3)
PSYC 8213 - Cognitive Science Credit Hours: (3)
PSYC 7217 - Social Psychology Credit Hours: (3)
PSYC 8217 - Social Psychology Credit Hours: (3)
PSYC 7219 - Soc/Persnlty Devel Credit Hours: (3)
PSYC 8219 - Soc/Persnlty Devel Credit Hours: (3)
PSYC 7220 - Social Cognition Credit Hours: (3)
PSYC 8220 - Social Cognition Credit Hours: (3)
PSYC 7222 - Psychology Human Memory Credit Hours: (3)
PSYC 8222 - Psychology Human Memory Credit Hours: (3)
PSYC 7407 - Cognition & Emotion Credit Hours: (3)
PSYC 8407 - Cognition & Emotion Credit Hours: (3)
PSYC 7314 - Programming Computation in Psych Credit Hours: (3)
PSYC 8314 - Programming Computation in Psych Credit Hours: (3)
PSYC 7701 - Behavioral Neuroscience Credit Hours: (3)
PSYC 8701 - Behavioral Neuroscience Credit Hours: (3)
AUSP 6300 - Autism: Communic & Socializtn Credit Hours: (3)

Computational Modeling and Artificial Intelligence Component (3 hours)

One of the following courses is required:

AUSP 8017 - Digitl Signl Proc Sp/Hear Credit Hours: (3)
EECE 7216 - Computer Vision Credit Hours: (3)
EECE 8216 - Computer Vision Credit Hours: (3)
EECE 7262 - Logicl Fndtns Artf Intl Credit Hours: (3)
EECE 8262 - Logicl Fndtns Artf Intl Credit Hours: (3)
EECE 7266 - Prolog Proc/Intel Syst Credit Hours: (3)
EECE 8266 - Prolog Proc/Intel Syst Credit Hours: (3)
COMP 6118 - Introduction to Data Mining Credit Hours: (3)
COMP 6720 - Intro Artificial Intlg Credit Hours: (3) (Same as EECE 6720 )
COMP 6730 - Expert Systems Credit Hours: (3) (Same as EECE 6730 .)
COMP 7118 - Data Mining ** Credit Hours: (3)
COMP 8118 - Data Mining ** Credit Hours: (3)
COMP 7150 - Fundamentals of Data Science ** Credit Hours: (3)
COMP 8150 - Fundamentals of Data Science ** Credit Hours: (3)
COMP 7282 - Evolutionry Computation Credit Hours: (3)
COMP 8282 - Evolutionry Computation Credit Hours: (3)
COMP 7720 - Artificial Intelligence Credit Hours: (3)
COMP 8720 - Artificial Intelligence Credit Hours: (3) (Same as EECE 7720 -EECE 8720 )
COMP 7740 - Neural Networks Credit Hours: (3)
COMP 8740 - Neural Networks Credit Hours: (3) (Same as EECE 7740 -EECE 8740 )
COMP 7745 - Machine Learning ** Credit Hours: (3)
COMP 8745 - Machine Learning ** Credit Hours: (3)
COMP 7760 - Control Auto Agents Credit Hours: (3)
COMP 8760 - Control Auto Agents Credit Hours: (3)
COMP 7770 - Knowledge Rep/Reason Credit Hours: (3)
COMP 8770 - Knowledge Rep/Reason Credit Hours: (3)
COMP 7780 - Natural Lang Processng Credit Hours: (3)
COMP 8780 - Natural Lang Processng Credit Hours: (3) (Same as PSYC 7221 -PSYC 8221 )
IIS 6511 - Introduction to Applied Computational Linguistics Credit Hours: 3
PSYC 7223 - Intelligent Tutoring Credit Hours: (3)
PSYC 8223 - Intelligent Tutoring Credit Hours: (3)
PSYC 7313 - Computational Models Cog Sci Credit Hours: (3)
PSYC 8313 - Computational Models Cog Sci Credit Hours: (3)
PSYC 7314 - Programming Computation in Psych Credit Hours: (3)
PSYC 8314 - Programming Computation in Psych Credit Hours: (3)

Language and Linguistics Component (3 hours)

One of the following courses is required:

AUSP 7002 - Sem Comm Sciences Credit Hours: (1-3)
AUSP 8002 - Sem Comm Sciences Credit Hours: (1-3)
AUSP 7000 - Speech Science Credit Hours: (3)
AUSP 8000 - Speech Science Credit Hours: (3)
AUSP 7006 - Lang & Speech Devel Credit Hours: (3)
AUSP 8006 - Lang & Speech Devel Credit Hours: (3)
AUSP 7008 - Acoustic/Percept Phonetics Credit Hours: (3)
AUSP 8008 - Acoustic/Percept Phonetics Credit Hours: (3)
AUSP 7011 - Psycholinguistics Credit Hours: (3)
AUSP 8011 - Psycholinguistics Credit Hours: (3)
ENGL 7507 - Empirical Mthds Ling Rsrch Credit Hours: (3)
ENGL 8507 - Empirical Mthds Ling Rsrch Credit Hours: (3)
ENGL 7508 - Corpus Linguistics Credit Hours: (3)
ENGL 8508 - Corpus Linguistics Credit Hours: (3)
ENGL 7511 - Survey of Linguistics ** Credit Hours: (3)
ENGL 8511 - Survey of Linguistics Credit Hours: (3)
ENGL 7512 - Morphology and Syntax Credit Hours: (3)
ENGL 8512 - Morphology and Syntax Credit Hours: (3)
ENGL 7590 - Appl/Theory Linguistics Credit Hours: (3)
ENGL 8590 - Appl/Theory Linguistics Credit Hours: (3)
PSYC 7530 - Psychology of Language Credit Hours: 3
PSYC 8530 - Psychology of Language Credit Hours: 3

Electives Course (3 hours)

The Cognitive Science Seminar or any course listed for one of the components may be taken as an elective. The courses below may also be taken as electives. Other elective courses may be selected in consultation with the program director.

AUSP 8112 - Sem Audiology Credit Hours: (3)
COMP 6151 - Intro to Data Science Credit Hours: 3
EDPR 7150 - Motivation Credit Hours: (3)
EDPR 8150 - Motivation Credit Hours: (3)
EDPR 7521 - Introduction to Research Design and Methodology ** Credit Hours: (3)
EDPR 8521 - Intro Res Design & Methodology Credit Hours: (3)
EDPR 7541 - Stat Meth App Ed I ** Credit Hours: (3)
EDPR 8541 - Stat Meth App Ed I ** Credit Hours: (3)
IDT 7070 - Instructional Design Process I ** Credit Hours: (3)
IDT 8070 - Instructional Design Process I Credit Hours: (3)
IDT 7074 - Thry/Models Instructnal Design ** Credit Hours: (3)
IDT 8074 - Thry/Models Instructnal Design Credit Hours: (3)
IDT 7090 - Dev Interactve Lrng Envirnmt I ** Credit Hours: (3)
IDT 8090 - Dev Interactve Lrng Envirnmt I Credit Hours: (3)
MATH 6611 - Intro Applied Statistics Credit Hours: (3)
MATH 6614 - Probability/Statistics Credit Hours: (3)
MATH 6685 - Statistical Learning I Credit Hours: (3)
PHIL 6421 - Philosophy Of Mind Credit Hours: (3)
PSYC 7301 - Research Design & Meth Credit Hours: (3)
PSYC 8301 - Research Design & Meth Credit Hours: (3)
PSYC 7302 - Adv Statistics Psych I Credit Hours: (3)
PSYC 8302 - Adv Statistics Psych I Credit Hours: (3)

Graduation Requirements:

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.
In the semester of graduation, the student must submit the Apply 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.