CSCI4900

Data Science Capstone

In this Capstone course for Data Science minors, students will apply their skills to real-world projects by working in teams on data science challenges provided by faculty members across the university. Projects may involve machine learning applications for STEM and social science research or data-driven insights for research in the humanities, education, nursing, or social work. Students will be assigned to teams according to their individual interests and major field of study, and they will meet regularly outside of class with their assigned faculty research mentor. The instructor and one or more graduate TAs will provide instruction and guidance during the weekly class meeting. The course will culminate in a final paper and a public presentation, either in a poster session or a series of talks, showcasing the students findings and analyses.

Course overview

Department
Computer Science
School
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.19 / 5

Based on 31 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Emily T Prud'hommeaux · 245 Beacon Street Room 125A W 04:30PM-06:50PM · Offered