Marketing (MKT)
MKT 5000 Special Problems (IND 0.0-6.0)
Problems or readings on specific subjects or projects in marketing. Prerequisite: Consent of instructor required.
MKT 5001 Special Topics (LEC 0.0-6.0)
This is designed to give the department an opportunity to test a new course. Variable title.
MKT 5099 Research (IND 0.0-9.0)
Research investigation of an advanced nature leading to a major report suitable for publication in a journal or in a conference proceedings. Prerequisite: Consent of instructor required.
MKT 5310 Digital Marketing and Promotions (LEC 3.0)
A managerial examination of integrated marketing communication (IMC) and creativity, with a focus on digital media and new marketing concepts. Specifically, we will look at innovative marketing techniques such as viral marketing, brand communities, experiential marketing and guerilla tactics. Prerequisites: At least Junior standing.
MKT 5320 Marketing for Non-Profits (LEC 3.0)
Illustrates the importance of creating synergy within a marketing campaign. Speaking with "one voice' allows a brand to make a stronger impact; students will work with a local non-profit to improve their marketing message at each customer touch point. Students will analyze a marketing plan and work to improve it, including brochures & donation letters. Prerequisites: At least Junior standing.
MKT 5410 Big Data Consumer Analytics (LEC 3.0)
In this course, we will discuss the challenges that companies face in extracting and utilizing insights from consumer Big Data to implement innovation in various marketing activities. Additionally, we will explore various approaches of analyzing consumer Big Data. The course will include lectures, case studies and simulation. Prerequisites: Bus 6622 or both Mkt 3110 and one of the following: Stat 1111, Stat 1115, Stat 1116, Stat 3111, Stat 3113, Stat 3115, or Stat 3117.
MKT 5762 Marketing Revolution with Machine Learning (LEC 3.0)
This course introduces machine learning and artificial intelligence applications in marketing innovation contexts through case studies and industry collaborations, explores the underlying mathematics and implements algorithms using Python programming language. Prerequisites: Graduate standing or one of the following: Math 1212 or Math 1214. (Co-listed with Math 5762).