The Computational Neuroscience Minor will train students in the use of computational approaches in neuroscience research. AI-driven technologies, machine learning, and big data analytics has given rise to brain-computer interfaces and precision medicine. There is heightened demand for professionals who bridge neuroscience and computational expertise. Core components in the computational neuroscience minor will teach skills in programming, data analysis, visualization, and neural modeling.

This minor is an attractive complement to students majoring in computer science and engineering, biological sciences, computational data science, or cognitive psychology who are interested in expanding their knowledge and skills to computational neuroscience. 

Policies

Eight credits of coursework must be unique to the minor. For policies governing all minors, see AP.5.3.4 Minors.

For policies governing all undergraduate programs, see AP.5 Undergraduate Policies.

Banner Code: CMNR

Minor Requirements

Total credits: 15

Students should refer to the Admissions & Policies tab for specific policies related to this minor.

Students must complete at least 15 credits of coursework with a minimum GPA of 2.00. 

Required Courses

NEUR 101Introduction to Neuroscience (Mason Core)3
NEUR 430Introduction to Computational Neuroscience3
NEUR 431Neuroinformatics Methods3
Total Credits9

Elective Courses

Select 6 credits from the following courses:6
NEUR 432
Neural Systems Design
or BENG 350
 Neural System Designs
NEUR 440
Independent Study in Neuroscience
NEUR 461
Special Topics in Neuroscience (when the topic is Computational Social Neuroscience.)
BENG 360
Biomedical Imaging (Mason Core)
BENG 434
Computational Modelling of Neurons and Networks
BINF 450
Bioinformatics for Life Sciences
CDS 301
Scientific Information and Data Visualization
CDS 303
Scientific Data Mining
Students seeking to take elective courses not listed above must first obtain approval from their academic advisor.
Total Credits6