DATSC 401Capstone in Data Science
- Units
- 0.50
- Faculty
- Mathematics
- Subject
- Data Science
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 0 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.
This course is the culminating experience of the data science major, designed to integrate and apply the knowledge, skills, and tools students have developed throughout their coursework. Students will address a complex, real-world data science problem from start to finish, defining a research question or business challenge, acquiring and cleaning data, applying appropriate statistical and computational methods, developing models or analytical pipelines, and effectively communicating findings to both technical and non-technical audiences. Emphasis is placed on project management, ethical considerations, reproducibility, and professional presentation. The capstone provides students with an opportunity to demonstrate mastery of the data science process and to produce a portfolio-ready project that showcases their ability to generate actionable insights from data.
Prerequisites
- Complete all of the following
- Students must be in level 4A or higher
- Enrolled in H-Data Science (BMath)
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Fall 2026
- Undergraduate Calendar, 2026–27The official entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Undergraduate Calendar
- 2026–27 (shown here)
- 2019–20 and earlier on ucalendar