Psychology courses

About Psychological Sciences - Mathematical And Computational Psychology ‣ Ph.d. in Purdue University

Students in the Mathematical and Computational Psychology program acquire a solid background in mathematics, psychology, and statistics to use as a base for creating mathematical models in a wide range of psychological areas. Academic study within this area includes modeling of psychological phenomena (cognitive psychology, learning, memory, visual and auditory perception, and psychophysics), experimental design, probability, and applied statistics. Student thesis research is preferably directed toward theoretical and/or methodological problems within a content area of psychology, such as experimental, social, clinical, or industrial psychology. Students are also encouraged to take advantage of the excellent opportunities at Purdue to delve into neighboring disciplines such as artificial intelligence, neurophysiology, robotics, computer science, systems theory, and linguistics. During the first year, students will be given the opportunity to participate in an on-going research program, through either background reading, data collection, or data analysis and model fitting. By the end of the Spring semester, students must submit a short research report (10 pages or more) that summarizes their work on this project.

Academic qualification equivalents

• Applicants must have a bachelor’s degree 

English language requirements 

• IELTS : 6.5
• TOEFL IBT: 90

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