MFIN2270

Data Analytics in Finance

Name: Data Analytics in Finance
Rating: 4.08 (662 reviews)

Corporations, investment banks, and asset management firms increasingly base their operational and investment decisions on the statistical analysis of "big data." In this course, you will be introduced to Python, a popular open-source modern programming language, and learn how to use it to extract data from online sources, estimate univariate and multivariate regressions on real-world financial data, and perform Monte Carlo simulations.

Course overview

Department: Finance
School: CSOM
Credits: 3

Requirements fulfilled

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

Official evaluation summary

4.08 / 5

Based on 662 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

Jonathan M Reuter
Fall 2026
Gang Nathan Dong
Fall 2021 · Official rating 3.91/5
Jonathan Reuter
Fall 2025, Fall 2024, Fall 2023, Fall 2022 · Official rating 4.49/5
Ran Xu
Spring 2026, Spring 2025, Spring 2024, Spring 2023, Spring 2022 · Official rating 4.24/5

Sections

Section 01
Fall 2026 · Jonathan M Reuter · Fulton Hall 115 TuTh 12:00 Noon-01:15PM · Offered
Section 02
Fall 2026 · Jonathan M Reuter · Fulton Hall 115 TuTh 03:00PM-04:15PM · Offered
Section 03
Fall 2026 · Jonathan M Reuter · Fulton Hall 250 TuTh 10:30AM-11:45AM · Offered