Academics and Advising
Degree curriculum has been carefully designed to prepare students for the workforce and reflects current industry standards for data science professionals. The Master of Science degree in Data Analytics and Computational Social Sciences (MS in DACSS) requires satisfactory completion of 10 courses, totaling 30 credits.
Degree requirements are the same for all three MS in DACSS programs:
Coursework consists of the of the following components:
- Four core courses that ensure that students are able to meet industry standards in data analysis and communication and effectively use data to support decision-making.
- Three technical electives that ensure students have cutting-edge training in one or more methods, such as survey research, advanced statistics or econometrics, network analysis, or computational text analysis.
- Three additional technical or substantive electives that round out the degree curriculum.
Connect with DACSS Advising to learn more about course requirements.