Indiana University Bloomington

What you'll study

The PhD programme emphasises interdisciplinary, research-led training in the scientific study of mind and intelligence. Students study core topics such as perception, attention, memory, language, reasoning and decision-making, as well as computational approaches including machine learning and cognitive modelling. The curriculum blends formal coursework, laboratory rotations or practicum experiences, advanced seminars, and a sustained dissertation project.

• Core coursework: foundational courses in cognitive science methods, statistics and experimental design, cognitive neuroscience (including brain imaging methods), computational modelling, and research ethics.
• Specialist seminars: advanced topics in language and cognition, visual cognition, development and social cognition, learning and memory, and neurophysiological techniques.
• Research practicum and labs: hands-on laboratory training in behavioural methods, EEG/ERP, fMRI, eye-tracking, psychophysics, or computational simulation, depending on the student’s focus.
• Teaching experience: opportunities to serve as teaching assistants for undergraduate courses to develop pedagogical skills and communication of complex ideas.
• Qualifying assessments and dissertation: preparation for and completion of qualifying examinations or proposals, followed by an original, defended dissertation that contributes new knowledge to the field.

Entry requirements

Admission is competitive and seeks candidates with strong quantitative and analytical preparation and clear research potential. Typical applicants hold a bachelor’s degree and many have a master’s degree in cognitive science, psychology, neuroscience, computer science, linguistics, philosophy or a closely related field.

• Academic background: evidence of solid preparation in relevant disciplines (behavioural science, mathematics/statistics, programming for computational tracks, or neuroscience methods).
• Research experience: prior laboratory or research experience is strongly preferred; applicants should demonstrate research skills through projects, honours theses or publications where possible.
• Supporting materials: letters of recommendation from academic mentors, a statement of research interests outlining intended area(s) of study, and a CV. International applicants must meet English language proficiency requirements.
• Other considerations: suitability of proposed research with available faculty expertise and resources; some applicants may be invited for interviews as part of the selection process.

Career prospects

Graduates of the PhD in Cognitive Science pursue careers across academia, industry and the public sector. The programme’s interdisciplinary training equips graduates for roles that require expertise in human cognition, data analysis and computational methods.

• Academic research and teaching: tenure-track positions, postdoctoral research, and university teaching roles in cognitive science, psychology, neuroscience, linguistics and related departments.
• Industry R&D: research scientist or machine learning roles in technology companies focusing on natural language processing, human–computer interaction, artificial intelligence, and user experience research.
• Clinical and applied roles: positions in educational technology, cognitive assessment, rehabilitation, and applied research in healthcare or government agencies.
• Consulting and data science: roles requiring experimental design, advanced statistics and modelling skills in consulting firms, finance, or public policy organisations.

Why study at Indiana University Bloomington

Indiana University Bloomington offers a strong interdisciplinary environment for cognitive science, drawing on established departments such as Psychological and Brain Sciences, Informatics, Linguistics and Philosophy. The campus supports collaborative research across labs and centres, enabling students to combine behavioural, computational and neurobiological approaches.

• Interdisciplinary faculty: access to faculty with expertise in cognitive neuroscience, computational modelling, language, perception and development.
• Research infrastructure: well-equipped facilities for brain imaging, electrophysiology, eye-tracking and high-performance computing, plus centres focused on language science and brain research.
• Collaborative culture: strong connections across departments and centres encourage cross-training and co-supervision, broadening students’ methodological toolkit and research networks.
• Training and professional development: opportunities for grant-writing, teaching development, conference presentation support and industry engagement to prepare graduates for diverse career paths.