Department of Psychology // University of Notre Dame

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Graduate Studies

Founded on the premise that knowledge of basic psychology and psychological methods is required for careers in both basic science and applied behavioral science, our graduate programs boast solid training in general content areas, in methodology, and in scientific writing. They prepare our graduate students to make active contributions to scholarly research and to solve problems in various community, clinical, and other nonacademic settings.

Doctoral Programs in Psychology

Cognitive

Doctoral candidates in cognitive psychology acquire knowledge in the areas of cognition. Research in these areas uses a sophisticated array of methodologies and stresses issues in memory retrieval, spatial cognition, language production and comprehension, music cognition, visual and auditory processing, attention, and aging. This combination of experiences prepares students for postdoctoral careers in university, industry, and government settings. Learn More >

Counseling

In the counseling program, science and practice mutually inform one another to advance the discipline and to enhance human functioning. Faculty research interests include cognitive vulnerability to depression, the impact of social stigma and discrimination, psychotherapy process and outcome, clinical research methodology, secrecy and self-disclosure, stress and depression, coping with chronic illness, cross-cultural and multicultural clinical competencies, marital discord and depression. Learn More >

Developmental

During their time in the developmental program, students develop substantive knowledge bases necessary for careers in research and scholarship, in teaching, and in intervention. Concentrations in developmental psychology vary according to the specific interests of students and fit into three categories: cognitive development; socio-emotional development; and developmental psychopathology. Learn More >

Quantitative

The quantitative program faculty train students to have expertise in a variety of analytical tools and to advance methodology through novel research on statistical applications and creative use of existing techniques. Areas of expertise within the program include math modeling and statistics. As in all of our programs, there is great flexibility of curriculum, and students may work with a variety of faculty, both within and between programs.
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Interdisciplinary

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