Chapman University

What you'll study

The Cognitive Science programme at Chapman gives students an interdisciplinary foundation across core domains: cognitive psychology, cognitive neuroscience, computational modelling and linguistics, together with philosophy of mind and ethics. The curriculum typically includes courses in research methods and statistics, experimental design, neuroanatomy and neurophysiology, machine learning or artificial intelligence introductions, language and cognition, perception and attention, memory, and decision-making.

Students usually complete laboratory-based classes that teach behavioural and neurophysiological techniques (for example, EEG/ERP fundamentals and psychophysics), programming and data-analysis skills (commonly using Python, R or MATLAB), and a sequence of research seminars. The degree emphasises experiential learning: many students undertake a senior capstone or honours project, join faculty research labs as research assistants, and may complete fieldwork or internships in industry and clinical settings.

Elective options allow specialisation or breadth, with choices from computer science (human–computer interaction, machine learning), philosophy (philosophy of cognition, ethics of AI), linguistics (psycholinguistics, syntax), and allied areas such as developmental psychology, clinical neuroscience or human factors.

Entry requirements

Applicants are expected to have a strong secondary-school record and to demonstrate readiness for a demanding, interdisciplinary science curriculum. Typical preparation includes high-school coursework in mathematics (algebra, pre-calculus or calculus), natural sciences (biology, and ideally physics or chemistry), and English. Prior exposure to computer science or statistics is advantageous but not mandatory.

Chapman considers the whole application package: academic transcripts, standardised test results where submitted, personal statement, and letters of recommendation. International applicants should meet English-language proficiency requirements and provide documentation equivalent to U.S. secondary qualifications. Mature or transfer applicants are assessed on collegiate coursework and relevant experience.

Career prospects

Graduates of Cognitive Science follow diverse career paths because the degree combines quantitative, experimental and conceptual skills. Common directions include:

• Technology and data roles: user-experience (UX) research and design, human–computer interaction, data analysis, and roles in artificial intelligence and machine learning teams.
• Health and clinical fields: pathways into speech–language pathology, occupational therapy, neuropsychology or roles in clinical research (additional professional training or graduate study is often required).
• Research and academia: research assistant positions in cognitive and neuroscience labs, followed by graduate study (master’s or PhD) in cognitive science, psychology, neuroscience, computer science or related areas.
• Applied science and design: human factors, product design, educational technology, and policy or consultancy roles that require understanding of human cognition.

The programme’s combination of statistics, experimental design and programming prepares students for employers who seek analytical and problem-solving skills. Many students also pursue internships during their studies to build practical experience and professional networks.

Why study at Chapman University

Chapman offers a small-college environment within a research-active university, providing close faculty mentorship, access to laboratory facilities and opportunities for undergraduate research. The interdisciplinary structure of the Cognitive Science programme encourages collaboration across departments, so students can combine technical training with humanistic and ethical perspectives.

Students benefit from hands-on learning through lab placements, senior projects and internship pathways supported by campus career services and local industry connections in the region. Smaller class sizes enable personalised advising and closer engagement with faculty research programmes, preparing graduates for both professional work and competitive graduate study.