FINA4390 — Machine Learning in Finance: Reviews & Ratings

FINA4390 (Machine Learning in Finance) course reviews and ratings at Northeastern (NEU). Average rating 1.0/5. Compare professors with RateMyProfessor reviews.

Offers students an opportunity to prepare for rapid changes in the financial services world due to technological innovations and to understand how ML and AI tools are relevant in the financial services industry; to learn the basics of these tools, including machine learning; and to analyze the ethical considerations in the use of these tools in financial services. Seeks to train students to develop data analytics solutions using machine learning and deep learning models, allowing them to answer analytical questions that are encountered in the finance space. Working knowledge of Microsoft Excel or other spreadsheet programs is strongly recommended.

Average rating
1.0/5
Difficulty
4.3/5
Ratings
6
Last taught
Fall 2026
Credits
4 Hours
Prerequisites
((CS 2000 with a minimum grade of D- or CIS 200M with a minimum grade of D- or CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2500 with a minimum grade of D- or DS 2500 with a minimum grade of D- or EECE 2560 with a minimum grade of D- or DS 2000 with a minimum grade of D- ); (FINA 3301 with a minimum grade of D- or FINA 3303 with a minimum grade of D- )) or (FINA 4335 with a minimum grade of D- or FINA 4380 with a minimum grade of D- )

Professors

Data updated October 2026.

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