MISM3515 — Data Mining for Business: Reviews & Ratings

MISM3515 (Data Mining for Business) course reviews and ratings at Northeastern (NEU). Average rating 3.4/5. Compare professors with RateMyProfessor reviews.

Covers key concepts, techniques, methods, and applications of data mining in the context of business. Offers students opportunities to learn how to distill key insights from a large amount of unknown data, which techniques to choose from, how to apply the techniques and methods to get the answer and insights from the data, and how to interpret the results from the analysis. Example predictive analysis techniques include market basket analysis and principle component analysis. Covers all techniques using business examples and user-friendly tools.

Average rating

3.4/5

Difficulty

3.3/5

Ratings

9

Last taught

Fall 2026

Credits

4 Hours

Prerequisites

MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or POLS 2400 with a minimum grade of D- or IE 4512 with a minimum grade of D-

Professors

• Bhawesh Sah
• Dimitrios Fotiadis
• Xiaoping Liu

Data updated October 2026.

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