Georgia Institute of Technology

What you'll study

The PhD in Research and Experimental Psychology emphasises rigorous experimental design, advanced statistics and theoretical development. Core study typically includes coursework in research methods, experimental design, multivariate statistics, advanced statistical modelling (e.g. mixed-effects models, Bayesian approaches), and computational methods for cognitive and perceptual data.

Students specialise through a combination of required and elective modules that reflect the School of Psychology’s strengths: cognitive psychology, perception and attention, learning and memory, decision-making, computational modelling, and human factors. Laboratory rotations and practicum experiences give early hands-on exposure to ongoing faculty research. Seminars and journal clubs develop skills in critical reading, experimental critique and scientific communication.

The doctoral programme is structured around three interlocking components: coursework to build breadth and depth; qualifying and comprehensive examinations or milestones to demonstrate readiness for independent research; and an original dissertation based on sustained empirical work. Students typically engage in teaching or mentorship responsibilities as part of professional development.

• Typical modules and topics
  • Advanced Research Methods and Experimental Design
  • Multivariate Statistics and Applied Regression
  • Computational Modelling of Cognition and Perception
  • Neuroscience Methods for Behavioural Science (where relevant)
  • Perception, Attention and Action
  • Learning and Memory; Decision-Making
  • Human Factors and Applied Cognitive Ergonomics (optional tracks)
  • Professional Development: Teaching, Grant Writing and Science Communication

Entry requirements

Applicants are expected to hold a strong undergraduate degree in psychology, cognitive science, neuroscience, engineering, computer science, or a related discipline. Many successful applicants also hold a master’s degree and have demonstrable research experience. A solid quantitative background—coursework in statistics, experimental methods, programming or computational modelling—is highly desirable.

Application materials normally include academic transcripts, a curriculum vitae, a statement of research interests outlining proposed directions for doctoral research, and letters of recommendation from academic or research supervisors. International applicants must meet the Institute’s English language proficiency requirements.

Admissions decisions are competitive and based on evidence of research potential, fit with faculty research interests, and academic preparation. Prospective applicants should consult the School of Psychology’s graduate admissions pages for any additional or current requirements.

Career prospects

Graduates of the PhD programme pursue careers across academia, industry and government. Many move into tenure-track academic positions in psychology, neuroscience, human factors or cognitive science departments. Others join research-oriented roles in industry—such as user experience research, applied cognitive engineering, data science, machine learning research, or product research—or work in government and non-profit research labs.

The programme’s emphasis on experimental methods, quantitative analysis and computational approaches prepares students for roles that require rigorous empirical skills, the ability to design and interpret complex studies, and expertise in communicating findings to technical and non-technical audiences.

Why study at Georgia Institute of Technology

Georgia Institute of Technology combines a strong engineering and computational environment with a School of Psychology that emphasises experimental and quantitative approaches, making it a good fit for students interested in interdisciplinary research that bridges psychology, neuroscience and technology. Faculty research groups frequently collaborate with other units across campus, including computer science, biomedical engineering and the human-computer interaction community, providing opportunities for cross-disciplinary projects.

Students benefit from access to modern research facilities, diverse lab groups, and professional development resources aimed at preparing scholars for academic and applied careers. The programme’s focus on methodological rigor and computational skills reflects Georgia Tech’s institutional strengths and prepares graduates to lead research in both academic and applied settings.