BMGT347

Quantitative Financial Analysis

Prerequisite: BMGT340; must have completed or be concurrently enrolled in BMGT343. Credit only granted for: BMGT347 or BMGT448G. Formerly: BMGT448G. Introduces students to data science for financial applications using an industry-standard programming language. Students will use tools ranging from regression models to machine learning to investigate questions across a variety of areas within finance including asset management, corporate finance and FinTech. The course will illustrate how big data and data analytics can improve financial decision-making by focusing on problems facing finance professionals. Restricted to Finance majors with 72 credit hours completed.

Sister Courses: BMGT347F

Spring 2026

2 reviews
Average rating: 3.50

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Fall 2025

1 review
Average rating: 2.00

Spring 2025

2 reviews
Average rating: 3.50

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Past Semesters

2 reviews
Average rating: 3.50

2 reviews
Average rating: 3.50

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2 reviews
Average rating: 3.50

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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 3.44 between 265 students*

BMGT347 Grade Distribution+-05101520253035404550556065% of studentsABCDFWother
A-: 20.75%
A: 35.47%
A+: 7.17%
B-: 2.26%
B: 10.94%
B+: 16.6%
C-: 0.75%
C+: 0.38%
D-: 0.38%
D: 0.38%
F: 0.75%
W: 4.15%
* "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.