Machine Learning Techniques in Economics and Finance

Harvard Summer School

MGMT S-105

Section 1

CRN 35878

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This course covers machine learning techniques that can be applied to the fields of economics and finance. The techniques covered in this course include multiple linear regression, logistic regression, decision trees, Naive Bayes, and unstructured learning techniques such as k-nearest neighbors (k-NN) algorithm means and cluster analysis.

Registration Closes: June 16, 2025
Credits: 4

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Term

Summer Term 2025

Part of Term

3-week session II

Format

On Campus

Credit Status

Graduate

Section Status

Open

Instructor Info

Sudhakar Raju, PhD

Professor of Finance and Data Science, Rockhurst University


Meeting Info

MTWTh 6:30pm - 9:30pm (7/14 - 7/31)

Participation Option: On Campus

Deadlines

Last day to register: June 16, 2025

Prerequisites

Prior knowledge of R. ECON S-110 is recommended.

Notes

Not open to Secondary School Program students.

Tuition

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All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
35878 1 On Campus Sudhakar Raju Open MTWTh 6:30pm - 9:30pm
 Jul 13 to Jul 30

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