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Data Science Requirements

Requirements for the major

10.5-12 credits as follows:

    • Introductory courses (4-5 credits):
      • STAT 200
      • CS 141 and CS 142
      • Both MATH 151 and 152 (recommended) or MATH 145
    • Core courses (3 credits):
      • Either STAT 223 or STAT 225
      • MATH 185
      • CS 208 or CS 220
    • Advanced courses (3 credits):
      • MATH/STAT 321
      • CS 317 or CS 320
      • CS/STAT 312 or CS/STAT 323
    • Project (0.5, or 1): The culminating project is to be a large data analysis project, which may be done in conjunction with a course, or as a separate independent study worth 0.5 or 1 credit. The project must be approved by the program committee, and it requires a paper and a public presentation. It is recommended that the project focus on a field outside of mathematics, statistics, and computer science to which Data Science applies.

Note: STAT 361 meets the Immersion/Active Learning graduation requirement, but only if taken for a full credit.

Note: Students combining a major in Data Science with a major in Mathematics, Computer Science, or Integrative Business and Management may apply no more than 3 courses to both programs simultaneously. Students majoring in Data Science may not minor in Statistics.