22 Bachelor's degrees offered by the university

The B.S. in Biology at Brown University includes 20 courses. Prerequisites in math, chemistry and physics support a core of biological sciences courses, with some options for related sciences. 

The B.S. in Cognitive Neuroscience at Brown University offers students the opportunity to study the higher cognitive functions in humans and their underlying neural bases. 

The B.S. in Engineering Physics at Brown University enables students to craft a program that combines both disciplines, and provides an excellent foundation for a research career.

The B.S. in Chemical Physics at Brown University is an interdisciplinary field at the crossroads of chemistry and physics and is administered jointly by the two departments.  

The B.S. in Applied Mathematics - Biology at Brown University recognizes that mathematics is essential to address many modern biological problems in the post genomic era. 

The B.S. in Applied Mathematics at Brown University is an inherently interdisciplinary subject which applies to many problems that arise in the physical, life and social sciences as well as in engineering. 

The B.Sc in Applied Mathematics - Computer Science at Brown University provides a foundation of basic concepts and methodology of mathematical analysis and computation and prepares students for advanced work in computer science, applied mathematics, and scientific computation.

The Statistics programme at Brown University is designed to provide foundations that include basic statistical concepts and methodologies, and to expose students to the role of statistical thinking and analysis in interdisciplinary research and in the public sphere.

 The B.S. in Mathematics at Brown University is designed to present students with challenging courses that will train them for any future they desire be it in the economy, in government, or in academe.  

The B.S. in Biochemistry and Molecular Biology at Brown University has a key component which is the year of hands-on research carried out in collaboration with a faculty member here at Brown.

Students in Geology-Biology at Brown University apply principles from geology, biology, chemistry, and physics to understand how major components of the Earth, such as its atmosphere and oceans, interact with and sustain life in the past, present, and into the future. 

The B.S. in Biophysics at Brown University offer students more depth of study in the physical sciences and the core sub-disciplines of Biology. 

The B.S. in Neuroscience at Brown University offers a program of study in the fields of knowledge important to an understanding of brain function. Neuroscience is an interdisciplinary field that seeks to understand the functions and diseases of the nervous system.

The Applied Mathematics - Economics programme at Brown University is designed to reflect the mathematical and statistical nature of modern economic theory and empirical research.

The Physics and Philosophy programme at Brown University is for students with a deep interest in physics who do not need to acquire the laboratory and computational skills of a professional physicist.

The Chemistry programme at Brown University offers courses and research opportunities that range from fundamental studies involving the characterization and preparation of synthetic and naturally occurring molecules, to interdisciplinary studies at the interfaces of chemistry with biology, medicine, physics, engineering, and nanoscience.

The Astronomy programme at  Brown University counts as one of the oldest continuously taught subjects in the Brown curriculum along with Greek, Latin, and Mathematics.

The B.S. in Physics at Brown University provides a foundation for ideas critical to other scientific fields and the underpinnings for modern technologies.

The B.S. in Geology-Chemistry at Brown University prepares students to apply chemical principles and approaches to investigate processes that operate on and within the Earth and other planets.

The B.S. in Computational Biology  at Brown University trains the next generation of scientists to perform cutting edge research in the multidisciplinary field of Computational Biology.