Data Science (B.S.)

Print Degree Planner (opens a new window) |

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 222 - Data Structures and Algorithms (4)
CPS 330 - Machine Learning (4)
CPS 352 - Database Systems (4)
CPS 403 - Computers and Society (4)
MAT 121 - Calculus I (4)
MAT 122 - Calculus II (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. MAT 319 Statistics may not be used to fulfill both the statistics requirement and an elective requirement.

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

Electives

One of the following elective courses:

BIO 440 - Landscape Ecology & GIS (2 or 4)
and BIO 441 - Landscape Ecology & GIS Lab (2)
CPS 331 - Artificial Intelligence (4)
ECO 213 - Econometrics (4)
ENG 210 - Introduction to Professional and Technical Writing (4)
MAT 318 - Probability (4)
MAT 325 - Operations Research (4)
MAT 342 - Numerical Analysis (4)

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.