Case Western Reserve University

What you'll study

The programme combines foundational coursework with supervised research. Core topics typically include cognitive neuroscience, computational modelling of cognition, experimental design and statistics, perception and attention, language and cognition, and learning and memory. Students select electives from related departments such as Computer Science (machine learning, AI), Psychology (clinical and developmental topics), Linguistics, Philosophy of Mind, and Biomedical Engineering.

Structure options commonly include a research thesis track—where students undertake an extended research project under a faculty supervisor—and a non‑thesis or practicum track involving a shorter applied project or internship. Practical experience is emphasised: students gain hands‑on exposure to neuroimaging (fMRI, EEG), behavioural experimentation, and programming for data analysis and computational modelling. Regular lab meetings, journal clubs and seminars connect students with ongoing research across campus.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in cognitive science, psychology, neuroscience, computer science, linguistics, philosophy with a strong quantitative component, or a related field. Admissions look for evidence of research potential or relevant technical skills (for example, statistics, programming, or laboratory experience).

Typical supporting materials include official academic transcripts, a personal statement outlining research interests and career objectives, a CV, and two or three letters of recommendation from academic or professional referees. International applicants must demonstrate English language proficiency where required. GRE requirements vary by year and programme policy, so applicants should check current department guidance.

Career prospects

Graduates move into a range of careers in academia, healthcare, industry and the public sector. Common destinations include doctoral programmes in cognitive science, neuroscience, psychology, or computer science; research positions in university labs and medical research centres; roles in data science, machine learning and human‑computer interaction in technology companies; and applied positions in clinical settings, neurotechnology firms, and UX research teams.

Former students also find opportunities in industries that value cognitive modelling and human‑centred design, such as healthcare analytics, brain‑computer interface development, educational technology, and consulting. The programme’s combination of experimental, computational and neuroimaging skills equips graduates for roles that require rigorous data analysis and interdisciplinary collaboration.

Why study at Case Western Reserve University

Case Western Reserve is a research‑intensive university with a strong interdisciplinary culture that supports cognitive science training across departments. Students benefit from close collaborations with nearby clinical and research partners, including medical centres and neuroscience institutes, which expand access to clinical populations, cutting‑edge facilities and translational projects.

The university hosts active labs and core facilities for neuroimaging and computational research, and students often engage in cross‑departmental projects with faculty in psychology, neuroscience, computer science and biomedical engineering. Small cohort sizes and accessible faculty mentorship create an environment suited to developing independent research skills and professional networks in both academic and applied settings.