Data Science & Society Correlate Sequence

Introductory

• CMPU 100 - Programming with Data  
• MATH 240 - Introduction to Statistics  

Intermediate

• STS 238 - Data and Society  (Same as SOCI 238 - Data and Society )
• CMPU 250 - Data and its Discontents ​ or
• MATH 244 - Intermediate Data Science  

​Capstone

• A 1-unit 300-level course that is preapproved by the DSS Steering Committee, or
• A 1-unit 300-level course where the student proposes a substantial project that is vetted by the DSS Steering Committee as having a substantial amount of engagement with all aspects of the DSS correlate (computing, society, and statistics). Students must submit a proposal through the Capstone Approval Request Form

Additional Information

• Students interested in declaring a Data Science and Society correlate should as a first step complete the Intention to Declare form, also available here
• To see a list of pre-approved capstone courses, visit https://pages.vassar.edu/dss/correlate/
• Work used to satisfy the correlate requirements may not be taken NRO after declaration of the correlate. At most, one non-capstone course taken NRO may count towards the correlate.

• MATH 240 Alternatives
  • If a student places out of introductory statistics through AP credit, then they may skip MATH 240, but must take MATH 242 - Applied Statistical Modeling  to satisfy this requirement. The student may need to self-study intro R before MATH 242.
  • This requirement is also satisfied by other introductory statistics courses taken at Vassar, i.e., PSYC 200 - Statistics and Experimental Design  and ECON 203 - Introduction to Econometrics .