Data Science (B.A.)

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Students majoring in data science must complete the following courses, with no grade below C-minus in any course required for the major.

Required courses

DSC 110 - Thinking with Data (4)
DSC 210 - Data Wrangling (4)
DSC 211 - Modeling and Visualization (4)
DSC 391 - Junior Seminar (1)
DSC 440 - Data Science Project (4) (or approved 4-credit internship)
CPS 121 - Introduction to Programming (4)
CPS 122 - Object-Oriented Software Development (4)
CPS 330 - Machine Learning (4)
CPS 352 - Database Systems (4)
CPS 403 - Computers and Society (4)
MAT 228 - Logic, Sets, and Structures (2)
MAT 229 - Proofs, Functions and Complexity (2)
MAT 232 - Linear Algebra (4)

Statistics

One of the following statistics courses.

BUS 211 - Statistics in Business and Economics (4)
MAT 220 - Biostatistics (4)
MAT 319 - Statistics (4)
PSY 256 - Research Methods I (4)

Suggested coursework

Students looking to apply data science in a particular field should work with their advisor to identify additional courses and may elect to declare a minor or second major.

Honors in Data Science

Seniors who research and write an honors thesis will be eligible to graduate with honors in data science. Under the direction of a faculty advisor, candidates will complete a 2- to 4-credit independent study in an area not covered by existing courses, and culminating in an honors thesis of high quality which will be defended orally to departmental faculty during the senior year. The minimum GPA for honors candidates is 3.5 in the major and 3.0 overall. See program faculty for details.