Data Science & Society Correlate Sequence

Requirements for the Correlate Sequence in Data Science and Society

1. CMPU 100

   Programming with Data
   1
2. MATH 240

   Introduction to Statistics
   1
3. STS 238

   Data and Society

   As published: “Data and Society (Same as SOCI 238 - Data and Society )”
   1
4. CMPU 250

   Data and its Discontents

   As published: “Data and its Discontents ​ or MATH 244 - Intermediate Data Science (not both)”
   1
5. A 1-unit 300-level course that is preapproved by the DSS Steering Committee, or

   Not resolved to a course
6. 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.

   Not resolved to a course
7. Students interested in declaring a Data Science and Society correlate should as a first step complete the Intention to Declare form, also available here.

   Not resolved to a course
8. To see a list of pre-approved capstone courses, visit https://pages.vassar.edu/dss/correlate/.

   Not resolved to a course
9. 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.

   Not resolved to a course
10. A student majoring or with a correlate in CMPU (or MATH) must take their capstone outside of the Computer Science (or Mathematics and Statistics) Department.

    Not resolved to a course
11. Intro Course Placement/Waivers

    Not resolved to a course
12. CMPU 100

    Programming with Data

    As published: “Alternatives:”
    1
13. If a student places out of CMPU 100 to take CMPU 101 or CMPU 102 , they can go into CMPU 250 with self-study of appropriate material. CMPU 100 instructors can provide material.

    Not resolved to a course
14. If a student places out of CMPU 101 (with AP CS), they still need to take a CS course to satisfy the correlate, namely, CMPU 102.

    Not resolved to a course
15. MATH 240

    Introduction to Statistics

    As published: “Alternatives”
    1
16. 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.

    Not resolved to a course
17. 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 .

    Not resolved to a course
18. Intermediate DSS course

    Not resolved to a course
19. Students must take either of the following to complete the Intermediate DSS course requirement: CMPU 250 or MATH 244. A student cannot take both of these.

    Not resolved to a course