MFIN8870 · Finance
Carroll School of Management
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 experience
Averages use the original five-point historical evaluation scale.
Organization
4.6 / 5
How well the course was organized
Challenge
4.7 / 5
How intellectually challenging students found it
Attendance
4.5 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~6
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Assistant Professor of the Practice, Finance, Carroll School of Management
4.5 / 5
4.4 / 5
Assistant Professor, Finance, Carroll School of Management
4.3 / 5
4.2 / 5
Associate Professor, Finance, Carroll School of Management
4.5 / 5
4.3 / 5
Across time
Section-level results available in the recovered archive.
Spring 2025
2 sectionsSummer 2024
1 sectionSpring 2024
2 sectionsFall 2023
1 sectionSummer 2023
1 sectionSpring 2023
2 sectionsFall 2022
1 sectionSummer 2022
1 sectionSpring 2022
2 sectionsFall 2021
1 sectionSummer 2021
1 sectionSpring 2021
1 section