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The SF State Master of Science in Industrial Organizational Psychology (I/O) has been in existence since the early 1960s. The program is a two-year course of study requiring 37 graduate-level units of coursework, 300 hours in an applied internship, and a culminating experience. The program is firmly grounded in the scientist/practitioner model and provides an educational foundation for students who plan to do professional work in the field or continue their education in I/O. The primary emphasis in the I/O graduate program has been placed on the theoretical and empirical foundations of psychology. Although I/O psychology is clearly an applied discipline, our faculty believe that the most valuable educational experience is one in which skills and knowledge are developed through an understanding of basic concepts, methods, and research in the field of I/O psychology. The program attracts applicants from throughout the country and abroad. Currently, 80% of our students admitted to the program majored in psychology as an undergraduate. Applicants often have experience with psychology research, working in human resources, and/or organizational consulting. Typically, 9-12 new students enroll each academic year. Because it is a two-year program, this means that there are usually 18-24 active I/O graduate students at any given time. 

Students complete 37 graduate-level units across the two years. In year one, the workload primarily involves coursework within seminar courses. In year two, the workload primarily involves supervised work within an internship, independent study, and research. Students must take at least two electives to complete the necessary units for the program. The electives can be taken during either year of the program. A wide variety of elective courses are available, subject to approval by the I/O faculty. Particular student interests and career goals are considered in selecting the elective courses. Electives most commonly taken include courses in other areas of psychology (e.g., social, developmental, statistics), the Lan Family College of Business, and supervised research within a faculty research lab ( or ).