Abdi, Peter Assmann, James C. Bartlett, W. Jay Dowling, George M. Gerken (emeritus), Richard M. Golden, Susan W. Jerger,
William F. Katz, Michael Kilgard, Aage R. Møller,
Alice O’Toole, Michael Rugg
Associate Professors: Marco Atzori, Lawrence J. Cauller (emeritus), Lucien T. Thompson
Assistant Professors: Cindy de Frias, Francesca Filbey, Daniel Krawczyk, Sven Kroener, Christa McIntyre, Jon Plosksi
Distinguished Scholar in Residence: James Jerger
The Master of Science in Applied Cognition and Neuroscience (ACN) program is an applied multidisciplinary program which incorporates and integrates methodologies from such diverse fields as psychology, neuroscience, and computer science. The Cognition and Neuroscience specialization area provides a flexible multidisciplinary curriculum for studying the mind and brain which is designed to be adaptable to the individual student’s interests. Students enrolling in the Cognition and Neuroscience specialization area with backgrounds in psychology and neuroscience will have the opportunity to gain the diverse skills needed to collect and interpret behavioral and neurophysiological data. The Computational Modeling/Intelligent Systems specialization area provides advanced training applicable to developing mathematical and computer simulation models of the brain and behavior as well as the development of artificially intelligent systems. The Human Computer Interaction specialization area provides excellent preparation for work in areas involving human computer interactions, such as usability engineering issues associated with the design and evaluation of user-friendly web-based systems. The Neurological Diagnosis and Monitoring specialization area provides advanced training and preparation for using functional brain imaging methodologies such as: EEG, SPECT, PET, and fMRI for both clinical and experimental investigations. All four specialization areas provide excellent preparation for doctoral work in the Cognition and Neuroscience area as well as medical school.
The Masters of Science in Applied Cognition and Neuroscience (ACN) provides advanced training opportunities in the areas of Neuroscience, Experimental Psychology, Artificial Intelligence, and Human-Computer-Interactions. In addition, the ACN program is a multidisciplinary program that should be of interest to business professionals interested in retraining or continuing education and who are currently working full-time in a professional-level job. Business professionals in different fields should pursue the appropriate ‘specialization area’ within the ACN degree program. Many courses in the ACN program are offered periodically as evening courses which meet either once or twice a week. A few representative career opportunities in the Applied Cognition and Neuroscience Area are listed as follows.
• Software development professionals, whose focus is the development of web sites, can acquire advanced training in the design and evaluation of web-site effectiveness using advanced behavioral science methodologies through the Human-Computer Interaction specialization area.
• Psychological counselors and Education professionals (e.g., high school science teachers, adult literacy educators) will greatly benefit from the basic neuroscience and psychological science courses offered in the Cognition and Neuroscience specialization area.
• Medical Health professionals (e.g., Electroneurodiagnostic Technologists, MRI Technicians. Radiologists) who are working in the area of brain imaging technology will find the Neurological Diagnosis and Monitoring specialization area relevant for improving their knowledge and understanding of functional brain imaging technologies such as: EEG, SPECT, PET, and fMRI.
• Software development professionals interested in the area of the implementation of complex mathematical algorithms in software. Such mathematical algorithms are now widely embedded in a variety of software programs for the purposes of providing "intelligent assistance" to the end-user. Software development professionals interested in continuing education in the area of artificial intelligence and artificial neural network modeling should consider the Intelligent Systems specialization area in the ACN program.
In addition to numerous individual faculty research labs, the Applied Cognition and Neuroscience Program utilizes several facilities which are shared among faculty and graduate students in the School of Behavioral and Brain Sciences. The Computational Systems Laboratory consists of a network of workstations which are used for computationally intensive models of perceptual, cognitive, and neural processes as well as high-volume data analyses. The Computational Systems Laboratory can be accessed remotely by graduate students and faculty members. The Neuroscience Laboratory facilities are located in Green Hall and the Multipurpose Building at the Richardson campus as well. The Callier Center for Communication Disorders, located adjacent to the University of Texas Southwestern Medical School, provides access to brain imaging laboratories and speech, hearing, and language laboratories.
The University’s general admission requirements are discussed here.
Admission to the Applied Cognition and Neuroscience Program is based on a review of the applicant’s GPA, letters of recommendation, and narrative description of interests and career goals. Both GRE math and verbal scores are required to be considered for admission.
Students with strong academic records, who are in the process of completing their undergraduate degree at UTD, may be admitted as Fast-track Students. Fast-track students may accelerate completion of the degree requirements of the Master of Science Program in Applied Cognition and Neuroscience at UTD by completing up to 12 credits of specified fast-track graduate coursework at UTD as an undergraduate. Fast-track credit hours may be used to fulfill requirements for the student’s undergraduate UTD degree as well as satisfy course requirements for the masters’ degree in Applied Cognition and Neuroscience. Applications to the Graduate Program in Applied Cognition and Neuroscience can be submitted as soon as the student is an undergraduate at UTD with no more than 45 credit hours remaining.
The University’s general degree requirements are discussed here.
All students in the program are required to regularly review their degree plans with their program advisor. In all areas of specialization, students complete 6 hours of approved core courses, 6 hours of approved methods courses, 6 hours of approved advanced elective courses, 12 hours of coursework in an approved specialization area, and 6 hours of internship courses. A grade of "B" is the required passing grade for coursework used to fulfill the core course and methods course requirements of the degree. Internship coursework must be taken pass/fail.
two of the following approved core courses (6 hours).
ACN 6330 Cognitive Science I
ACN 6395 Cognitive Psychology
ACN 6340 Cellular Neuroscience
ACN 6344 Functional Neuroanatomy
ACN 6346 Systems Neuroscience
Select at least one approved quantitative methods course approved by the
Program Head or from the following approved list of quantitative methods
courses (3 hours).
ACN 6312 Research Methods in Behavioral and Brain Sciences ∼ Part I
ACN 6313 Research Methods in Behavioral and Brain Sciences ∼ Part II
ACN 6314 Research Methods in Behavioral and Brain Sciences ∼ Part III
ACN 5314 Computational Modeling Methods in Behavioral and Brain Sciences
ACN XXX MATLAB for Brain Sciences
CAN 6322 Computational Modeling Methods for Language Understanding
ACN 6351 Quantitative Methods in Neuroscience
ACN 6348 Neural Net Mathematics
ACN 6347 Intelligent Systems Analysis
ACN 6349 Intelligent Systems Design
Select at least one methods course (3 hours).
Select two advanced elective courses: These courses may be chosen from either the Graduate Program in Psychological Sciences or the Applied Cognition and Neuroscience Program or the courses may be chosen from outside the School of Behavioral and Brain Sciences with approval from the ACN program head.
The following four specialization areas have been approved for the Applied Cognition and Neuroscience program but alternative specialization area proposals may be submitted for consideration to the Applied Cognition and Neuroscience program head.
Students selecting this specialization area are approved to select any four courses from the ACN program (i.e., courses with the prefix ACN) or the Cognition and Neuroscience Area of the Doctoral Programs in Psychological Sciences (i.e., courses with the prefix HCS).
Students selecting this specialization area should take two of the following three courses: ACN 6341 Human Computer Interactions I, ACN 6342 Human Computer Interactions II, and ACN 6343 Human Computer Interactions Lab. Students pursuing the behavioral sciences track should additionally take two courses from the Cognition and Neuroscience Specialization Area course selections. Students pursuing the user-interface development track should take: CS 5343 Algorithm Analysis and Data Structures and CS 6354 Software Engineering. Note that the prerequisites for CS5343 are: CS5303 Computer Science I (or equivalent) and CS 5333 Discrete Structures. Students specializing in the Human Computer Interactions area should regularly review the Arts and Technology courses offered in the School of Arts and Humanities, which have the course prefix ATEC, and discuss relevant course offerings with the ACN Program Head.
Students pursuing the computer simulation modeling track should take four courses from the Cognition and Neuroscience Specialization Area which include at least one of the following courses: ACN XXX Matlab for Brain Science, ACN 7367 Speech Perception Lab, ACN 6322 Computational Modeling Methods for Language Understanding, and ACN 5314 Computational Modeling Methods in Behavioral and Brain Sciences. Students pursuing the mathematical modeling track will satisfy the advanced elective requirement in this specialization area by taking the sequence: ACN 6346 Neural Net Mathematics, ACN 6347 Intelligent Systems Analysis and ACN 6349 Intelligent Systems Design and one additional course from the Cognition and Neuroscience Specialization Area course selection. Note that STAT 5351, linear algebra, multivariable calculus, and ACN 5314 Cognitive and Neural Modeling Lab are recommended prerequisites for: ACN 6346. The following Computer Science and Electrical Engineering courses are pre-approved electives for students specializing in the Intelligent Systems area who have the appropriate prerequisite background in computer science and/or electrical engineering: CS6320 (Natural Language Processing), CS 6321 (Discourse Processing), CS6364 (Artificial Intelligence), CS6373 (Intelligent Systems), CS6375 (Machine Learning), CS6384 (Computer Vision), EE6362 (Speech Processing), EE6363 (Digital Image Processing), EE6364 (Pattern Recognition), and EE 6365 (Adaptive Signal Processing).
Students should take ACN 6344 Functional Neuroanatomy and ACN 6346 Systems Neuroscience. Students should also choose at least 2 of the following courses as specialization area electives: ACN 6310 Fundamentals of Functional Brain Imaging, ACN 6373 Intraoperative Monitoring I, ACN 6374 Intraoperative Monitoring II, ACN 7315 Statistical Analysis of Brain Imaging Data, ACN 7329 Functional Brain Imaging Practica, ACN 6372 Pathophysiology of Disorders of the Nervous System, and ACN 7330 Advanced Functional Brain Imaging.
The internship requirement is satisfied by enrolling in 6 credit hours of ACN 7V71 Industry Internship, ACN 7V72 Research Internship, and/or HCS 8V80 Research in HCS. Students whose immediate post-graduate goals are graduate school and medical school should fulfill the Internship Requirement by taking six credit hours of HCS 8V80 in order to obtain research experience. Students not intending to pursue graduate or medical school training immediately after receiving their ACN masters degree should discuss internship opportunities with the Program Head during their second semester of enrollment in the ACN program.