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CIS-210: Marketing Analytics

Course Information

Course, prefix, number, & title: CIS-210 Marketing Analytics

Hours (Class, recitation, Laboratory, studio): 2 class hours, 2 lab hours

Credits: 3

Pre-requisites (if any): CIS 101 and one of the following: BUS 401 or CIS 102

Course Description in college catalog:

This course provides an introduction to data analytics as it is used in Marketing. Students will learn how to use various information systems and software tools to collect and analyze data and create infographics for marketing decision support including: search engine optimization, multimedia optimization, ad revenue optimization, social media, e-mail, and ad campaign optimization. Students will also learn the basics of regression analysis and how neural networks and several different machine learning techniques are applied in price prediction modeling, customer satisfaction analysis, campaign analysis, market segmentation analysis, and market basket analysis.

Academic programs for which this course serves as a requirement or an elective:



General Education Outcomes: Below is a listing of General Education Outcome(s) that this course supports.

  1. Use analytical reasoning to identify issues or problems and evaluate evidence in order to make informed decisions.

  2. Reason quantitatively as required in various fields of interest and in everyday life.

  3. Apply information management and digital technology skills useful for academic research and lifelong learning.

Course-specific student learning outcomes:

At the completion of this course students will:

  1. Import data from various sources into a data analytics tool and search for patterns in the data.
  2. Be able to create different types of infographics that will help make better business decisions.
  3. Apply various data analytics techniques to common marketing tasks.

Other program outcomes (if applicable).

  1. Integrate knowledge and skills in Marketing

  2. Work collaboratively to accomplish learning objectives

  3. Use technical tools and analytical reasoning to implement solutions to business problems.

Methods by which student learning will be assessed and evaluated; describe the types of methods to be employed; note whether certain methods are required for all sections:

Student participation          

Hands on laboratory assignments

Hands on data analytics work outside the classroom/Lab

Hands on data analytics exams/tests

Project(s) implementation and presentation using audio visual equipment

Homework assignments                        10%

Class participation                                 10%

In-class assignments                              20%

Group data analytics project                  20%

Individual data analytics project             20%

Two exams                                           20%

Academic Integrity policy (department or College):
Academic honesty is expected of all students. Any violation of academic integrity is taken extremely seriously. All assignments and projects must be the original work of the student or teammates. Plagiarism will not be tolerated. Any questions regarding academic integrity should be brought to the attention of the instructor. The following is the Queensborough Community College Policy on Academic Integrity: "It is the official policy of the College that all acts or attempted acts that are violations of Academic Integrity be reported to the Office of Student Affairs. At the faculty member's discretion and with the concurrence of the student or students involved, some cases though reported to the Office of Student Affairs may be resolved within the confines of the course and department. The instructor has the authority to adjust the offender's grade as deemed appropriate, including assigning an F to the assignment or exercise or, in more serious cases, an F to the student for the entire course." Read the University's policy on Academic Integrity opens in a new window.

Disabilities
Any student who feels that he or she may need an accommodation based upon the impact of a disability should contact the Office of Accessibility Services in Science Building, Room S-132, 718-631-6257, to coordinate reasonable accommodations for students with documented disabilities. You can visit the Office of Accessibility Services website.

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