Bachelor of Science Cognitive Science

4 Years On Campus Bachelors Program

Carnegie Mellon University

Program Overview

The B.S. in Cognitive Science at Carnegie Mellon University brings together psychology, linguistics, artificial intelligence, machine learning, philosophy, neuroscience, and computer science to explore how humans and intelligent systems learn, think, and process information. It is well suited to students interested in the science of intelligence, with the curriculum combining experimental study of human cognition, computational methods, neuroscience, programming, statistics, and advanced cognitive modeling.

Curriculum Structure

Year 1: Students begin by developing the mathematical, programming, and cognitive foundations needed for the major, including Cognitive Psychology, Foundations of Brain and Behavior, and Fundamentals of Programming and Computer Science. They also begin the required mathematics and statistics preparation that supports later computational and research-focused study.

Year 2: Students build stronger research and analytical skills through Introduction to Research Methods and a statistics course such as Experimental Design for Behavioral & Social Sciences or Statistical Concepts and Methods for Behavioral and Social Science. Depending on their selected pathway, they also develop either computational skills through Principles of Imperative Computation and Principles of Functional Programming, or neuroscience knowledge through courses such as Cellular Neuroscience and Systems Neuroscience.

Year 3: Students move into more advanced interdisciplinary work and select one of two pathways: Computational Intelligence, focused on models of cognition and intelligent systems, or Neural Cognition, focused on neural systems underlying perception, learning, and cognition. Advanced options include Cognition in the Age of AI, Cognitive Modeling, Cognitive Neuropsychology Research Methods, and How the Brain Makes Meaning, allowing students to connect computational, psychological, and neurological perspectives.

Year 4: Students deepen their chosen area through a three-course Cognitive Science Concentration, developed with an advisor as a coherent interdisciplinary focus. Advanced coursework such as Reverse Engineering Brains and Machines, Cognitive Modeling, or Introduction to Parallel Distributed Processing can further develop expertise in intelligent systems, cognition, and computational approaches.

Focus areas: Cognitive Psychology, Artificial Intelligence, Machine Learning, Computational Intelligence, Neural Cognition, Neuroscience, Cognitive Modeling, Human Information Processing, Programming, Research Methods, and Intelligent Systems.

Learning outcomes: Students develop knowledge of cognition and neuroscience, apply experimental and research methods, analyze cognitive and behavioral data, understand computational approaches to intelligence, and connect concepts across psychology, computer science, neuroscience, linguistics, and related disciplines.

Professional alignment (accreditation): Institutional accreditation: Carnegie Mellon University is accredited by the Middle States Commission on Higher Education (MSCHE); CMU's official accreditation information describes MSCHE accreditation as institutional rather than accreditation of individual programs. The university does not state a separate professional accreditation specifically for the B.S. in Cognitive Science.

Reputation (employability rankings): University reputation: Carnegie Mellon reported that the university was ranked among the top 20 universities in the United States in the 2026 U.S. News & World Report Best Colleges rankings, with seven undergraduate areas ranked No. 1 nationally; this is a university-level ranking and is not a specific ranking of the B.S. in Cognitive Science.

Experiential Learning (Research, Projects, Internships etc.)

Students in Carnegie Mellon University’s B.S. in Cognitive Science gain practical experience by studying human cognition through psychology, neuroscience, artificial intelligence, machine learning, linguistics, philosophy and computer science. The program’s emphasis on the experimental study of the human mind gives students opportunities to design studies, collect and analyze data, work with research participants, and apply computational and neuroimaging methods. Students can also join faculty research laboratories, earn academic credit for research, complete independent projects and develop a senior thesis with a faculty mentor.

Hands-on opportunities and resources include:

  • Cognitive Research Methods: Students can develop original research studies, recruit and test participants, analyze data, and present their findings through academic posters and oral presentations. Cognitive research methods specifically use E-Prime, PsyScope and Qualtrics for data collection.
  • Neuroscience Research: Students can work with real fMRI datasets using BrainVoyager, while cognitive neuroscience research also incorporates structural MRI, diffusion imaging and EEG.
  • Faculty Research Laboratories: Undergraduate research assistants can collect and prepare data, conduct research sessions, recruit participants and contribute to published manuscripts, with opportunities to receive 3–12 academic credits per semester for laboratory work.
  • Cognitive Neuroscience Labs: The Kid Neuro Lab gives undergraduates opportunities to conduct behavioral and neuroimaging studies using fMRI and fNIRS with children and adults. The Cognitive Axon Lab combines behavioral testing, computational modeling and neuroimaging to study learning, action planning and executive control.
  • Software & Computational Research: The Auditory Lab gives students interested in cognitive psychology, cognitive neuroscience and HCI opportunities to work with MATLAB; the Concepts, Actions, Objects Lab also involves undergraduate researchers in data collection and analysis and recruits students to develop research tools using Java and Python.
  • Senior Research Projects: Students can complete an independent Senior Thesis, developing a research question, designing experiments, collecting and analyzing data, and producing an APA-style research paper under faculty mentorship. Projects may also be presented at CMU’s Meeting of the Minds research symposium.
  • Research Facilities: Students interested in neuroscience can access the CMU-Pitt BRIDGE Center, which houses an fMRI machine, while the Carnegie Mellon University Children’s School provides a setting for developmental research with young children.
  • Human-Computer Interaction Facilities: Cognitive Science students can connect their interests with CMU’s Human-Computer Interaction Institute, which includes facilities such as the Augmented Design Capability Studio with electronics and woodworking tools, a user-study room, a desktop car simulator and video-recording equipment.
  • Interdisciplinary Research: Cognitive Science research connects students with areas including Human-Computer Interaction, Machine Learning, Neuroscience, Robotics, Computer Science and Philosophy, creating opportunities to apply cognitive science to intelligent systems and human-centered technology.
  • Summer Research: The Summer Program for Undergraduate Researchers (SPUR) provides an eight-week opportunity to participate directly in psychological research, including data collection and laboratory meetings, with 2026 projects spanning developmental, cognitive neuroscience and social-health psychology.
  • Internships & External Experience: The Psychology Department reports student internships with organizations including Western Psychiatric Institute and Clinic, The Children’s Institute, and Matilda Theiss Therapeutic Nursery and Preschool, giving students opportunities to apply their academic preparation in clinical settings.

Progression & Future Opportunities

The B.S. in Cognitive Science at Carnegie Mellon University gives students an interdisciplinary foundation spanning psychology, computer science, linguistics, artificial intelligence, machine learning, philosophy and neuroscience, with opportunities to build a customized concentration. Graduates can move into technology, human-computer interaction, research, consulting and further graduate or professional study, with CMU noting that Cognitive Science alumni have entered both industry and graduate programs.

Typical Job Roles: UX Researcher, Product Manager, AI/Technology Specialist, Research Assistant.

Career Support & Industry Connections:

  • Career & Professional Development Center (CPDC): Students receive career exploration, professional development, experiential-learning and employment assistance, with discipline-specific advising, networking and employer connections.
  • Employer Recruiting: CMU's CPDC connects students with employers through Handshake, career events, information sessions, interviews and recruiting partnerships.
  • Cognitive Science Research: Students can access research opportunities through areas including the Human-Computer Interaction Institute, Machine Learning Department and laboratories such as the Future Interfaces Lab, OH! Lab, ArticuLab, Plaut Lab and Tarr Lab.
  • Industry Exposure: CMU has worked with companies through employer presentations and career-development programs; one documented program included Ford Motor Company providing design-thinking sessions for students, including Cognitive Science students.
  • Technology & HCI Pathways: The program's interdisciplinary preparation can support progression into AI, educational technologies, medical technologies, product management, software engineering, and UI/UX design and research.

Employment & Salary Outcomes:

  • Cognitive Science-specific statistics: Carnegie Mellon does not currently publish a separate public employment rate or salary figure specifically for B.S. Cognitive Science graduates.
  • University Outcomes: CMU's Career & Professional Development Center publishes first-destination data covering employers, job titles, industries, salaries, locations and continuing-education destinations for graduating students.
  • Psychology Department benchmark: For the Class of 2025, CMU reports that 90% of Psychology graduates were employed or in graduate school six months after graduation, with an average salary of $64,984; this is a Psychology-program figure and should not be interpreted as a Cognitive Science-specific outcome.

University–Industry Partnerships: CMU's CPDC Employer Relations team develops relationships with employers through recruiting, career events and partnership opportunities, while the university's interdisciplinary research environment connects students with technology and research organizations.

Long-Term Accreditation Value: Carnegie Mellon University is institutionally accredited by the Middle States Commission on Higher Education (MSCHE). MSCHE accreditation evaluates the university as a whole, including educational activities, student learning outcomes, resources, student services and assessment practices, providing institutional recognition that continues beyond completion of the degree.

Graduation Outcomes: CMU's Psychology Department reports that about half of its graduates continue to graduate or professional school, while others pursue employment using their problem-solving skills; Cognitive Science-specific university material likewise identifies graduate study and industry as major destinations.

Further Academic Progression: After completing the B.S., students can pursue master's and doctoral study in fields such as cognitive science, psychology, neuroscience, human-computer interaction, artificial intelligence, machine learning, linguistics, education, public health and related disciplines. CMU's Cognitive Science materials specifically identify graduate pathways including anthropology, business, education, neuroscience, psychology, public health and speech pathology. 

Program Key Stats

$64596
$64596
$67020
$75
EA, ED1
Aug Intake : RD 2nd Jan EA/ED 1st Nov


11%
No
Yes

Eligibility Criteria

AAA - A*A*A
3.9 - 4
40 - 42
90 - 95

1500 - 1580
33 - 36
6.5
90
Optional
No

Additional Information & Requirements

How US Universities Assess Applicants

Career Options

  • Cognitive Scientist
  • UX Researcher
  • Human Factors Specialist
  • Data Analyst
  • Research Assistant
  • Behavioral Researcher
  • User Experience Designer
  • Neuroscience Research Assistant
  • Product Researcher
  • Artificial Intelligence Specialist

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