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MKT 4630: Mrktng Analytics with Big Data at Baruch College

3 credits · Spring 2027

Mrktng Analytics with Big Data (MKT 4630) at Baruch College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.

The professor is: Yun Wang.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Prerequisite: MKT 3000 and [(ZICK/ZKTP stdnt grp & ZK4L/ZK4P stdnt grp: details, https://bit.ly/4000-level-bus-courses) or (ZKDS stdnt grp)]

About this course

The course focuses on how companies can optimize their marketing mix ? Product, Price, Place, and Promotion using Big Data. Marketing is about driving growth and increasing your organization?s market share. The course utilizes cases and industry papers to identify and define problems faced by marketing departments across industries, and teaches students how to solve these problems through the analysis of Big Data.

Professors for MKT 4630 at Baruch, Spring 2027

Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works

MKT 4630 sections, times and seats

Seat status as of Oct 4, 11:18 PM ET. Seats can change between refreshes. How fresh is this?

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

FTA-LEC Regular
Tue · 4:10 PM - 5:25 PM
B - Vert 5-160
Yun WangChill Rank 2 of 5: Easylimited data?★ 5.0(4)Difficulty 1.0/5 · 100% would take again
Hybrid AsynchronousOpen

Questions about MKT 4630 at Baruch

Who teaches MKT 4630 at Baruch in Spring 2027?
Yun Wang is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is MKT 4630 at Baruch hard?
It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 1.0 out of 5. The Chill Rank above compares them directly.
What if a MKT 4630 section is full?
Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.