Graduate Program in Psychological Science

Graduate Program in Psychological Science (MA)

The Graduate Program in Psychological Science at Rutgers University–Camden is a 30-credit course of study leading to the Master of Arts degree. The program provides a foundation in research design and data analysis and an opportunity for individually supervised research apprenticeships. Our curriculum and training emphasizes scientific research methods that can be used to assist in the solution of real-world problems.

Unique Program Features

  • Funding opportunities for highly qualified students
  • Two different tracks: thesis track for students interested in further doctoral study and content track for non-academic research careers
  • Weekly lecture series that allows students to engage with research
  • Evening classes to accommodate students who work during the day

Who Should Apply

  • Students who wish to prepare for admission to a doctoral program (our graduates have been accepted into Ph.D. programs at Oxford University (UK), Ohio State, Arizona State, Northwestern, University of Texas at Austin, University of California-Riverside, CUNY Graduate School, SUNY Albany, SUNY Stony Brook, Widener University, Tulane, Pennsylvania College of Medicine, Kean University, Indiana University of Pennsylvania, Pace University, North Carolina State, University of Alabama, University of Utah, University of Rochester, University of Florida, University of Miami, University of Nottingham, Notre Dame, and other schools).
  • Careers in research (e.g., marketing or pharmaceutical research).
  • PLEASE NOTE: The program focuses on basic and applied research and does not offer clinical licensing nor training in psychological counseling or therapy.

Program Learning Goals

The Department of Psychology prepares students to understand, design, and produce sophisticated psychological research.  On graduation, our students are able to:

  • Think critically about research in psychological science;
  • Design and carry out both experimental and quasi-experimental research;
  • Conduct statistical analyses (descriptive and inferential) of diverse types of data;
  • Write professional-quality review and empirical papers.