University of Michigan

What you'll study

The programme blends coursework across psychology, neuroscience, linguistics, computer science, philosophy and anthropology to build a broad foundation in how cognition arises and can be analysed. Core topics typically include cognitive neuroscience, perception, attention, memory, language and development, computational modelling, experimental design and statistics. Students also learn practical skills such as programming for cognitive science (often Python or MATLAB), data analysis, neuroimaging methods and human-subjects research techniques.

Structure normally comprises a set of required introductory and methodological courses, disciplinary breadth requirements drawn from partner departments, and a range of electives that allow specialisation. Elective options often cover subjects such as:

• Computational cognitive modelling and machine learning
• Psycholinguistics and language acquisition
• Perception and sensory systems
• Cognitive development and learning
• Cognitive neuroscience and neuroimaging methods
• Human–computer interaction and UX research

Many students undertake hands-on research with faculty laboratories, complete a senior capstone or honours thesis, and combine the major with complementary minors or course sequences (for example computer science, statistics, philosophy, or biology) to tailor the degree to academic or career goals.

Entry requirements

Applicants should have a strong secondary-school record with evidence of analytical and quantitative ability. Recommended preparatory subjects include mathematics (algebra and at least introductory calculus), biology or physical science, and coursework in psychology or computer science where available. Practical programming or data coursework is advantageous but not always mandatory.

Typical admissions to the University of Michigan are competitive; successful candidates demonstrate academic achievement, clear interest in cognitive science through relevant coursework, projects or extracurricular activities, and the potential to benefit from an interdisciplinary curriculum. Transfer applicants should provide college transcripts and, if applicable, examples of research or programming experience. Specific application procedures and supporting materials follow the university's general undergraduate admissions process.

Career prospects

Graduates with a degree in Cognitive Science are prepared for a range of careers in research, technology, healthcare and education. Common early-career roles include research assistant in cognitive or neuroscience labs, data analyst, user experience (UX) researcher, product research specialist, and roles in machine learning or natural language processing teams. The degree also provides a strong foundation for postgraduate study in cognitive science, neuroscience, psychology, computer science, or professional programmes such as medicine, speech-language pathology and human factors engineering.

Employers value the programme's combination of empirical methods, quantitative analysis and interdisciplinary thinking. Alumni work in academia, healthcare institutions, public sector research, technology companies, startups focused on AI or educational technology, and consulting firms that require expertise in human behaviour and data interpretation.

Why study at University of Michigan

The University of Michigan offers a well-established, interdisciplinary cognitive science programme with access to a wide range of departments and research centres. Students benefit from opportunities to work with faculty engaged in cutting-edge research in cognitive neuroscience, computational modelling and language, and to use advanced facilities such as neuroimaging and behavioural research labs.

Located in Ann Arbor, the university provides a collaborative academic environment, abundant undergraduate research and internship placements, and strong links with industry and graduate programmes. The structure of the programme supports both hands-on laboratory experience and flexible pathways to tailor study toward research, technology or clinical careers.