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, Summer |
| BI 212 | General Biology II - Organisms | Winter, Spring, Summer |
| BI 213 | General Biology III - Populations | Fall, Spring, Summer |
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 |
| BIOE 410 | Machine Learning | TBD |
| BI 410 | Data Management & Visualization | Fall |
| BI 410 | Modeling in Biology: Stochastic Models | Spring |
| BI 410 | Neural Data Analysis | Spring |
| BI 471 | Population Ecology | Winter |
| Bi 485 | Techniques in Computational Neuroscience | Not offered in 22/23 |
| 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.