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, 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, Summer |
BI 212 | General Biology II - Organisms | Winter, Spring, Summer |
BI 213 | General Biology III - Populations | Fall, Spring |
BI 214 | General Biology IV – Biochemistry and Genetics | 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 410 | Data Management & Visualization | Winter |
BI 410 | Neural Data Analysis | Spring |
BI 410L | Data Science for Ecological Conservation | Fall, Spring |
BI 471 | Population Ecology | Spring |
Bi 485 | Techniques in Computational Neuroscience | Not offered in 22/23 |
DSCI 411*** | Data Science Capstone |
* Course schedules are subject to change.
** Course requires CH222, CH223 and BI214.
*** Students with a GPA of 3.75 or higher overall in all data science degree courses are eligible.