DATS 5980 Data Science Capstone

Short Description

This course 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.

Portfolio Building Course

No

Pre-Requisites

Four MSE-DS Core Courses and Two MSE-DS Electives | Only available to MSE-DS Degree Students

Content

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.

Course Creators
  • Sharath Chandra Guntuku