Merge Computer Science with Neuroscience
The Neuroscience+CS program integrates a cutting-edge computer science education with a top-notch neuroscience program, preparing you to innovate in computer science, neuroscience, and the combination of the two, including neural networks, cognitive computing, and computational neuroscience.
Model Neural Networks
Analyze Biomedical Data
Advance Cognitive Computing
Innovate the Future
As a graduate of the Neuroscience+CS program, you will be poised for careers in biomedical research, healthcare technology, and artificial intelligence. With expertise in both fields, you’ll have the potential to contribute to groundbreaking research and development in related fields, including healthcare diagnostics, brain-machine interfaces, and neural prosthetics.
Personalize Your Neuroscientific Studies
With a range of electives in neuroscience and computer science, you can tailor your studies to specific interests, such as neural networks or the computational brain. This customization ensures you will acquire the skills needed for your desired career path, making your education both relevant and personal.
Merge Computing with Brain Science
The Neuroscience+CS integrated bachelor’s degree, a partnership between the Department of Computer Science and the Department of Neuroscience, prepares you to innovate in neuroscience, computer science, and at the intersection of the fields. Preparing you to pioneer innovations that can change the world of brain research, healthcare, or computing.
Sample Course Sequences
Note: The course sequence provided is a sample schedule. Students should consult with their academic advisor to customize their coursework based on course availability, academic interests, and transfer credits.
Fall
CS 312 Introduction to Computer Programming
M 408C or 408N Calculus 1
CH 301 Principles of Chemistry I
BIO 311C Introduction to Biology I
UGS 302 or 303 First Year Signature Course (UT Core)
Spring
CS 311 Discrete Math
CS 314 Data Structures
M 408S Calculus 2
CH 302 Principles of Chemistry II
CH 204 Introduction to Chemical Practice
BIO 311D Introduction to Biology II
Fall
CS 429 Computer Architecture
SDS 321 Introduction to Probability and Statistics
BIO 325 Genetics
BIO 206L Intro Labs Experiment in Biol
Varies Social and Behavioral Science Course (UT Core)
Spring
CS 439 Operating Systems
M 340L Matrices and Matrix Calculations
NEU 330 Neural Systems I
RHE 306 Rhetoric and Writing
Varies Visual and Performing Arts Course (UT Core)
Fall
CS 331 Algorithms and Complexity
PHY 317K & 105M General Physics I
NEU 335 Neural Systems II
GOV 310L American Government (UT Core)
Varies US History (UT Core)
Spring
CS 342 Neural Networks
NEU 466M(T?) Quantitative Methods In Neuroscience I
Varies Neuroscience Upper Division Elective #2
PHY 317L & 105N General Physics II
Varies US History (UT Core)
Fall
Varies CS Upper Division Elective #2
Varies Neuroscience Upper Division Elective #3
Varies Neuroscience Upper Division Elective #4
E 316L British Literature (UT Core)
Spring
Varies CS Upper Division Elective #3
Varies Neuroscience + CS CAPSTONE or research
GOV 312L or P Issues and Policies in American Government (UT Core)