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Data Science CS Capstone Experience
In the DSCS Capstone experience, students will be challenged to integrate their accumulated knowledge and technical and social skills in order to identify and solve a problem relevant to issues encountered by data scientists, and to communicate the results of their efforts to their peers. In doing so, students will have the opportunity to demonstrate their ability to adapt to professional situations.
An approved capstone course or experience involves a larger project or research experience designed to practice, apply, and showcase the knowledge of the entire data science pipeline skills learned. The Data Science Capstone course is recommended, but an internship or a research project approved in advance by the data science faculty may fulfill this requirement.
0 or 3 credits in CS
Capstone Options for Data Science CS Majors (Fall 2022)
- CS 37300 must be completed with a grade of C or better prior to the start of the Capstone Experience.
Students choosing a Zero-Credit option must complete an additional selective from either the CS Selectives or the Statistics Selective course lists.
For-credit course options:
- CS 49000 DSC – Data Science Capstone – DSC section only – RECOMMENDED OPTION
- CS 49000 Topics In Computer Sciences For Undergraduates (Individual Study) – A preapproved unpaid research opportunity in Data Science fulfills the capstone. STAT 49000 and Data Mine projects/courses do not fulfill the DSCS Capstone requirement.
- CS 49000 Topics In Computer Sciences For Undergraduates (Individual Study) – An approved paid research opportunity in Data Science fulfills the capstone. STAT 49000 and Data Mine projects/courses do not fulfill the DSCS Capstone requirement.