Undergraduate Certificate in Data Analytics and Computational Social Science

The DACSS undergraduate certificate consists of 5 classes. Each class must be worth a minimum of 3 credits and be taken for a letter grade. Click here for a full list of course options and requirements. 

Students should take:

• DACSS 201:  Fundamentals of Data Analytics for Social Science
• Introductory Statistics Requirement: Students can take any introductory statistics course offered on campus that is at or above the 200-level. 
  • Ex: SPP 204, SOC 212, RESECON 212, STAT 240
• Applied Regressions for Social Science Requirement: Students can take any applied regression course offered on campus, which includes such courses as linear regression and econometrics.
  • Ex: DACSS 310, ECON 201, RESECON 312
• Two Electives: Students can take any two electives on advanced topics at the 200 level or higher. At least one of these courses must be a computational or quantitative elective, and at least one of these courses must be at the 300-level.

All coursework must carry at least 3 credits and be taken for a letter grade. The overall GPA for the certificate must be at least 2.0.  At most two courses can count for both this certificate and another major, minor, or certificate and/or be transferred from another program, such as a previous institution or a study abroad institution. Neither independent studies/practicums nor undergraduate research experiences counts towards the certificate.

For questions about the DACSS undergraduate certificate, please contact Kelsey Shoub, DACSS associate director for undergraduate curriculum.