MFIN8870

Data Analytics in Finance

Data Analytics in Finance focuses on critical skills in programming and computation/analysis of financial data, and more importantly, pragmatic applications in portfolio management and risk management. Theoretical concepts and background for these techniques will be introduced, and the focus is on their applications and hands-on implementation utilizing software packages and programming platforms that are widely used in the financial industry (Python). The course will extensively focus on real-world applications of finance theory.STEM-designated

Course overview

Department
Finance
School
CSOM
Credits
3

Requirements fulfilled

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

Official evaluation summary

4.32 / 5

Based on 348 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

  • Gang Nathan Dong
    Summer 2026, Spring 2026, Summer 2025, Spring 2025, Summer 2024, Spring 2024, Summer 2023, Spring 2023, Summer 2022, Spring 2022, Fall 2021 · Official rating 4.62/5
  • Jonathan M Reuter
    Fall 2026
  • Jonathan Reuter
    Fall 2023, Fall 2022 · Official rating 4.48/5
  • Ran Xu
    Spring 2026, Spring 2025, Spring 2024, Spring 2023, Spring 2022 · Official rating 4.04/5

Sections

  • Section 01
    Summer 2026 · Gang Nathan Dong · Fulton Hall 145 MW 06:30PM-09:30PM · Offered
  • Section 01
    Fall 2026 · Jonathan M Reuter · Fulton Hall 115 TuTh 03:00PM-04:15PM · Offered