Introduction to Quantitative Methods for Economics and Finance

Harvard Extension School

MGMT E-104

Section 1

CRN 27076

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This course is a rigorous introduction to quantitative methods for students intending to study economics, finance, accounting, marketing, and management science. Examples are drawn from these areas. Topics covered include probability distributions, statistical inference, multiple linear regression, logistic regression, optimization, and machine learning. This course focuses on applications, illustrating concepts with datasets. The statistical programming language, Python, is completely integrated into the course. Students may count one of the following courses toward a degree or certificate, but not more than one: MGMT E-104, STAT E-100, STAT E-101 (offered previously), STAT E-102, or STAT E-104.

Registration Closes: January 22, 2026
Credits: 4

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Term

Spring Term 2026

Part of Term

Full Term

Format

Live Attendance Web Conference

Credit Status

Graduate

Section Status

Open

Instructor Info

Alexis Montecinos, PhD

Assistant Professor, Finance, Suffolk University


Meeting Info

Th 11:00am - 1:00pm (1/26 - 5/16)

Participation Option: Online Synchronous

Deadlines

Last day to register: January 22, 2026

Additional Time Commitments

Optional sections to be arranged.

Prerequisites

Prior college-level course in statistics, and prior courses in economics or finance recommended. Familiarity with Excel. Familiarity with Python is desirable but not required.

Notes

This course meets via web conference. Students must attend and participate at the scheduled meeting time. See minimum technology requirements.

Tuition

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All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
16613 1 Online Asynchronous, Online Synchronous Sudhakar Raju Open T 11:00am - 1:00pm
 Sep 2 to Dec 20
27076 1 Online Synchronous Alexis Montecinos Bravo Open Th 11:00am - 1:00pm
 Jan 26 to May 16
26002 2 Online Asynchronous, Online Synchronous Sudhakar Raju Open W 6:00pm - 8:00pm
 Jan 26 to May 16

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