The University of Chicago Summer
Introduction to Biological Psychology

Introduction to Biological Psychology


Course Status: Pre-College Application: Jan 2026

Applications for Pre-College courses will open in early January. We encourage you to review the courses offered below. Remember: you can select up to 3 in your application. We look forward to seeing you!

Course Code

PSYC 20300 10

Cross Listed Course Code(s)

NSCI 21015, CHDV 20300

Course Description

This course will introduce undergraduate psychology students to the fundamentals of biological psychology and neuroscience. We will concentrate on the biological processes that underlie human and animal behavior. This course satisfies the upper division undergraduate core breadth requirement for the undergraduate major in Psychology.

Course Criteria

Prior coursework in biology is strongly recommended.

This course is primarily comprised of undergraduate students. A select number of places are reserved for advanced high school students.

The cost of this course for pre-college students is $4,980

Instructor(s)

Brian Prendergast

Course Duration

Summer Online

Session

Session 1

Course Dates

June 15th - July 2nd

Class Days

Mon, Tue, Wed, Thu

Class Time

9:00 am - 11:30 am

Eligibility

11th Grade, 12th Grade, Undergrad

Modality

Remote

Other Courses to Consider

These courses might also be of interest.

  • Introduction to Quantitative Modeling in Biology
    Introduction to Quantitative Modeling in Biology

    Although mathematics and biology have traditionally not gotten along, recent advances in molecular biology and medicine have made biological experiments essentially quantitative. This course introduces mathematical ideas that are useful for understanding and analyzing biological data, including data description and fitting, hypothesis testing and Bayesian thinking, Markov models, and differential equations.

    Students acquire hands-on experience working with data and implementing mathematical models computationally using the R programming language. The two main goals are to acquire computational skills and conceptual familiarity with mathematical models used in biological research.

    Remote