Data Science Capstone

Catalog description

This course in the Data Science Program provides students with experience in designing and implementing diverse end-to-end real-world data science projects through our students’ existing industry connections. Students will work with their capstone mentor to identify a practical problem, apply knowledge from previous courses to design a solution, and learn new skills and techniques to implement their proposed solution. Weekly office hours will be used to discuss questions around the components of a data science project lifecycle, consider common issues with data science projects, brainstorm ideas for addressing stumbling blocks, and seek and share feedback on project decisions and progress. The student will be mentored jointly by the course instructor and by a capstone mentor selected by the student in the area of the project. The course will culminate in a week of in-person events and a final project showcase. This course is designed for students who have already identified a project that spreads across all aspects of the data science pipeline. Upon completing the course, students are expected to have gained essential skills to tackle real-world problems through a data science perspective. Required prerequisites: CIS 5450 , ESE 5410 , and CIS 5500 . Recommended: Students should be nearing the end of their program and/or should have the required background for their proposed project in order to register. Please note that registration for this course requires program approval.