Rochester Institute of Technology

What you'll study

This programme combines advanced coursework in experimental design, quantitative methods and substantive areas of psychology with sustained hands-on research experience. Core topics typically include experimental design and methodology, multivariate statistics and advanced data analysis, psychometrics, cognitive and perception research methods, and topics in social, cognitive or physiological psychology.

Students build practical skills in programming for behavioural research, statistical software, psychophysiological measurement and stimulus presentation. The curriculum is structured around a balance of seminar-style classes, lab rotations or practicum placements, and an independent research project—either a thesis or a substantial capstone study—completed under faculty supervision.

• Research methods and experimental design
• Advanced statistics and multivariate analysis
• Psychometrics and measurement theory
• Topics in cognitive, social or physiological psychology
• Laboratory practicum and research apprenticeship
• Thesis or capstone research project

Entry requirements

Applicants are expected to hold an undergraduate degree in psychology or a closely related field. Admissions typically favour candidates with coursework in statistics and research methods and with prior laboratory or empirical research experience. Required application materials normally include academic transcripts, a statement of purpose outlining research interests, letters of recommendation, and a curriculum vitae or résumé.

International applicants must demonstrate English language proficiency according to university policy. Some applicants with non-psychology undergraduate degrees may be admitted conditionally and asked to complete prerequisite coursework in psychology and quantitative methods.

Career prospects

Graduates are prepared for a range of research-oriented careers and further academic study. Common pathways include continuation to doctoral programmes in psychology, employment as research assistants or coordinators in university and hospital laboratories, and roles in private-sector research such as user experience (UX) research, data analysis, market research, and behavioural science roles in technology and healthcare companies.

Other career outcomes include positions in programme evaluation, policy research, neuropsychological assessment support, and applied research within government agencies and non-profit organisations. The programme’s strong methodological and quantitative focus also equips graduates for data-intensive roles in industry.

Why study at Rochester Institute of Technology

RIT offers an applied, research-intensive environment with access to research labs, specialised equipment and faculty actively engaged in experimental work across cognitive, social and physiological areas. Small cohort sizes facilitate close mentorship and collaboration with faculty on publishable research projects.

The institute’s emphasis on experiential learning and industry connections provides opportunities for practicum placements, collaborative projects with external partners, and access to career services that support transition to doctoral programmes or research-related employment. Students benefit from an interdisciplinary community and resources for advanced statistical training and research technology.