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Dibs Fall 2026

BIOMATH

Biomathematics

26 courses on record · 2 with sections in Fall 2026

Live section data currently covers GE courses; the rest is filled in by a nightly pass, so this department is likely running more than is listed here.

26 courses

Upper division 1

Upper division courses in Biomathematics
Course Title Predicted GPA This term
170A Introductory Biomathematics for Medical Investigators 3.92 n=46 1 section

Graduate 25

Graduate courses in Biomathematics
Course Title Predicted GPA This term
200 Research Frontiers in Biomathematics no letter grades 1 section
201 Deterministic Models in Biology no grade history —
202 Biological Systems: Structure, Function, Evolution 3.84 n=25 —
M203 Stochastic Models in Biology 3.65 n=9 small sample —
204 Biomedical Data Analysis 3.89 n=26 —
205 Top Computational Algorithms 3.92 n=16 small sample —
206 Introduction to Mathematical Oncology 3.96 n=17 small sample —
208 Geometric Methods in Medical Imaging 3.90 n=12 small sample —
210 Optimization Methods in Biology 3.94 n=10 small sample —
259 Controversies in Clinical Trials 3.97 n=28 —
260A Methodology in Clinical Research I no grade history —
M260A Methodology in Clinical Research I 3.96 n=17 small sample —
260B Methodology in Clinical Research II 3.95 n=10 small sample —
M260B Methodology in Clinical Research II 3.96 n=16 small sample —
260C Methodology in Clinical Research III no grade history —
M260C Methodology in Clinical Research III 3.93 n=30 —
261 Responsible Conduct of Research Involving Humans no grade history —
M261 Responsible Conduct of Research Involving Humans 3.89 n=108 —
M262 Communication of Science 3.95 n=9 small sample —
265A Data Analysis Strategies I 3.72 n=35 —
266A Applied Regression Analysis in Medical Sciences 3.98 n=35 —
266B Advanced Biostatistics 3.92 n=35 —
267 Machine Learning for Medicine 3.96 n=16 small sample —
268 Analysis of Electronic Health Records 3.94 n=8 small sample —
M282 Longitudinal Data no grade history —

“Predicted” is shrunk toward the department average, so a course taught once to a dozen students sits near the department mean rather than at whatever those twelve happened to get. The figure is always shown — small sample marks where it rests mostly on that prior.