University of San Diego

What you'll study

The Cognitive Science major combines core courses across several disciplines to give students a comprehensive view of how perception, learning, language and decision-making arise from biological, computational and social systems. Typical elements of the programme include foundational courses in psychology and neuroscience, introduction to cognitive science, and methods courses in statistics and experimental design.

• Core disciplines: cognitive psychology, behavioural neuroscience, linguistics, philosophy of mind, and cognitive development.
• Quantitative and computational methods: statistics for behavioural sciences, programming for cognitive scientists (commonly Python or MATLAB), computational modelling and machine learning basics.
• Research and methods: experimental design, perception and attention labs, neuroimaging/neurophysiology lab techniques (where available), and practicum in research methods.
• Capstone and electives: a senior seminar or capstone research project, elective options in human–computer interaction, artificial intelligence, psycholinguistics, decision science, and courses offered through related departments such as computer science, philosophy, and biology.
• General education: as a liberal arts programme, students also complete USD's core curriculum, which develops communication, quantitative reasoning and ethical reflection.

Entry requirements

Admission to the University of San Diego typically requires a high school diploma or equivalent and a record of strong academic performance. Applicants should demonstrate competence in mathematics and science through prior coursework. Standardised tests may be optional depending on current USD policy; check the university's admissions pages for the latest guidance.

• Academic preparation: recommended high-school courses include biology, chemistry or physics, algebra and pre-calculus, and coursework in English.
• Application materials: completed application, official transcripts, personal statement, and letters of recommendation where required.
• International students: evidence of English language proficiency is usually required (e.g. TOEFL or IELTS) unless exempted by prior education in English.
• Transfer applicants: transfer credit is evaluated on an individual basis; prospective transfers should submit college transcripts and course descriptions for evaluation.

Career prospects

Graduates with a degree in Cognitive Science have a wide range of career pathways because of the programme's blend of scientific, computational and human-centred training. Typical roles and further-study routes include:

• UX researcher or user experience specialist, applying knowledge of perception and human behaviour to product design.
• Data analyst or data scientist roles that draw on statistical and computational training.
• Research assistant positions in academic or industry neuroscience and psychology labs, often as a stepping stone to graduate study.
• Roles in human–computer interaction, AI development, or software teams, particularly when combined with computer science coursework or internships.
• Further study options include master's or doctoral programmes in cognitive science, psychology, neuroscience, computer science, speech and language pathology, or clinical training where appropriate prerequisites are met.

Why study at University of San Diego

The University of San Diego offers cognitive science within a small, liberal-arts setting that emphasises close faculty mentoring and hands-on research opportunities. Students benefit from interdisciplinary collaboration across psychology, biology, computer science and philosophy departments, and can take advantage of on-campus labs and research centres.

• Research and internships: proximity to a vibrant biotech and technology community in the San Diego region helps students secure internships and research placements.
• Small class sizes: the programme is delivered in smaller seminars and lab courses, which supports personalised guidance on projects and senior theses.
• Cross-disciplinary flexibility: easy access to electives across related departments allows students to tailor the major toward computational, biological or humanistic emphases.
• Support services: academic advising, career services and undergraduate research support help students translate their degree into practical experience and post-graduate opportunities.