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The Mathematical Behavioral Sciences Concentration delivers an interdisciplinary curriculum focused on mathematical methods for analyzing human behavior, offering advanced instruction in mathematical modeling, computational tools, and programming. This program is overseen by a diverse faculty team. Students can specialize in two key areas: Social Networks or Games, Decisions and Dynamical Systems. Housed within the School of Social Sciences, the Institute for Mathematical Behavioral Sciences (IMBS) serves as a dedicated research hub that fosters collaboration among scholars committed to developing and rigorously testing precise theories of human behavior.
Admission to the concentration in Mathematical Behavioral Sciences requires evidence of appreciable mathematical skill and knowledge. As an absolute minimum, a candidate should have taken one full year of calculus, including calculus of several variables, and one course in linear algebra, and should also provide evidence of additional mathematical depth. This depth can be manifested in a number of different ways including, but not restricted to, an undergraduate degree in mathematics or physical science, a high score on the quantitative section of the GRE general test.
Those students interested in either the emphasis in Social Networks or the emphasis in Games, Decisions, and Dynamical Systems should make this clear in their application. A student is free at any time after admission to move into or out of either emphasis, but will be subject to the requirements in effect at the time of original admission to the concentration in Mathematical Behavioral Sciences.
TOEFL Score Requirements for Admission Consideration:
IELTS Score Requirements for Admission Consideration: