There is a need for students with sophisticated skills to examine large administrative datasets (“Big Data”), and the CS+ECON curriculum produces students who are able to write their own code and develop their own software for analyzing these data sets.

Computer Science and Economics are a relevant curricular fit with a natural overlap, providing students with enhanced quantitative analysis and programming skills. Students learn a variety of economic analytical skills, both theoretical and empirical, as well as computational skills.

The combination of coursework is not intended to provide economics student with computer science skills, nor to provide computer science students with an economics background, but instead, to offer students with an integrated program where their knowledge in both curriculums will be complimentary and intertwined. The computer science curriculum fits well with economics, especially within some of the major fields, including econometrics, financial economics, industrial organization, and mathematical economics.


Students have access to all of the resources offered within Computer Science, Economics, and their respective colleges (Liberal Arts & Sciences, and Engineering).


The CS+ECON is a rigorous degree, requiring the program to be selective. New incoming students should be prepared for challenging courses within Computer Science, Economics, and Mathematics. Throughout this degree, students are expected to build their programming ability as well as quantitative methods and critical and analytical skills. The GPA and Grades required to continue into the CS+ECON program are set at a high level as both Computer Science and Economics degrees are challenging, so students must be able to perform academically at a high level to manage the combination of both programs.