Prerequisites: BMSC 240 with a grade of C- or better, BMSC 241 with a grade of C- or better; Bioinformatics concepts and molecular biology are recommended; restricted to major(s) Biomedical Sciences; graduate standing; or consent of instructor
Description: Focuses on the practical application of biostatistical methods to real-world biomedical data using tools like R or Python. Provides hands-on coding experience, data analysis, results interpretation, and communication of findings through scientific writing.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.