Recent technological breakthroughs in DNA sequencing mean that scientists can characterize an organism’s entire genome in a matter of days. But a great challenge remains in translating that genomic sequence — nature’s data set — into biology.

That translation is fundamentally changing how we study biology.

In the data science domain area of biology, you will find yourself on the cutting edge of the field, working in the acquisition, analysis, and interpretation of data and how it applies to gene function, disease, microbial ecology, and the assembly and characterization of new genomes.

Domain Requirements

You will take at least two biology domain core courses and four courses from the electives menu. 

Biology Core Courses (you must take at least two)

course title quarter offered*
BI 211 General Biology I - Cells Fall, Winter
BI 212 General Biology II - Organisms Winter, Spring
BI 213 General Biology III - Populations Fall, Spring

Biology Electives (choose four)

course title quarter offered*
BI 320 Molecular Genetics Fall, Spring
BI 360 Neurobiology Fall, Spring
BI 370 Ecology Winter
BI 399 Computational Genomics Spring
BI 399 Modeling in Biology: Deterministic Models Winter
BI 410 Data Management & Visualization Fall
BI 410 Modeling in Biology: Stochastic Models Spring
BI 410 Neural Data Analysis Not offered in 21/22
BI 471 Population Ecology Winter
Bi 485 Techniques in Computational Neuroscience Not offered in 21/22
DSCI 411*** Data Science Capstone  

* Course schedules are subject to change. 

** Students with a GPA of 3.75 or higher overall in all data science degree courses are eligible.