MKTG 3258 Marketing Analytics

This course introduces students to concepts and methods for customer analytics applied to marketing strategy decisions such as segmentation, targeting, brand positioning, promotion, and product design. Students will learn analytical techniques and statistical models with hands-on applications of marketing data and statistical software to gain working knowledge of marketing analytics and its applications. Students are expected to have taken one of the following statistics-based courses or an equivalent prior to enrolling in this class: BZAN1135, APSY2217, BIOL2300, ECON1151, PSYC1120, or SOCY2200.

Course overview

Department
Marketing
School
CSOM
Credits
3
Level
Undergraduate
Offered
Every Spring

Catalog details

Prerequisites
MKTG1021 and BZAN1135 or BIOL2300 or APSY2217 or ECON1151 or PSYC1120 or SOCY2200

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.24 / 5 · Very Good
38 responses
Instructor rating
4.41 / 5 · Very Good
38 responses
Terms evaluated
3
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Linda Salisbury4.14.14.74.54.84.94.74.81–3 hrs/week11 of 12
Spring 2024Linda Salisbury4.54.64.94.94.65.04.74.91–3 hrs/week14 of 17
Spring 2023Linda Salisbury4.14.44.74.84.74.74.84.81–3 hrs/week13 of 18

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Linda Salisbury
    Spring 2027, Spring 2026, Spring 2024, Spring 2023 · Official rating 4.41/5

Sections

  • Section 01
    Spring 2027 · Linda Salisbury · Fulton Hall 245 W 04:30PM-06:50PM · Offered