BUFN403

Capstone Computational Finance Projects

This is a semester-long capstone project to be completed by student groups. The projects will range from academic research projects (co-mentored by a finance or computer science faculty member) or an industry focused project (co-mentored by an industry coach). Each project must address an interesting real world challenge faced by a researcher, an analyst or a financial regulator. The project would ideally use a real dataset. Teams can create their own datasets or re-purpose existing datasets. There will be credit given to teams who create or curate their own datasets. The project should apply methodology based in machine learning, information / data management, including NLP and text analytics. The project must include a visual analytics component so that the results from the project can be presented and explained to the user. There will be a public final presentation as one element of the final deliverable to satisfy the requirements of the Notation.

Spring 2026

0 reviews
Average rating: N/A

Spring 2025

7 reviews
Average rating: 1.57

Past Semesters

7 reviews
Average rating: 1.57

7 reviews
Average rating: 1.57

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.66 between 26 students*

BUFN403 Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 23.08%
A: 42.31%
A+: 3.85%
B-: 7.69%
B: 3.85%
B+: 19.23%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.