Data Science (Specific Topics in Marketing) (SS 2021)


Course Number
044337

Field(s) of Study
Master

University Calendar

Learnweb Platform

Type
Lecture/Exercise

Course Language
englisch


Notice

Description

Data Science has become a vital and highly relevant topic in the business world. Marketers in today’s data rich environment do not only need to bring strategic expertise, but also require the ability to derive information and insights from multiple streams of data within and outside of their own company.


With the richness of data, complexity has increased. Identifying relevant data sources, combining data streams, mastering data storage and data administration has become similarly important as analyzing and interpreting data with analytical and econometric tools. With the advent of data, new technologies and analytical procedures conquered the field of marketing. Big data applications together with artificial intelligence dominate todays’ business intelligence departments. While these new methods provide great opportunities, they similarly bring substantial challenges to marketers.


To speak the same language as business intelligence, marketers need to acquire profound knowledge about the tools and methods available in today’s analytical world which help them to better address common marketing problems such as e.g. customer management, return on invest measurement, budget allocations, product preferences or willingness to pay.


Investing into these skills clearly pays off. Recent research points out that business school graduates with analytical expertise and the ability to develop own analytical models in environments such as R or Python benefit from higher salaries early on in their career. A study from Northeastern University in Boston quantifies this benefit at a 25% higher salary mark.


For this reason, this module aims to ensure that you bring the right skills to the job market.


The course combines a practical focus with the analytical and methodological skills. We teamed up with TechLabs, one of Europe’s leading tech education providers, who will provide you with a coding bootcamp. Within six weeks you will have the opportunity to learn the basics of R and R Studio with the help of an exclusively curated online education program. Once you have acquired the necessary base skills, you will move forward to your own business intelligence project.


Together with our practice partner Dr. Wolff Group we provide students with several up to date business cases from which you will have to choose one. Together in teams, you will have another eight weeks to complete the task. You will benefit from our own and the TechLabs mentoring program as well as from the close collaboration with Dr. Wolff’s own business intelligence team that will similarly provide you with detailed feedback.


At the end of the semester, you will then have the opportunity to present your findings directly to the board of directors during a workshop held at Dr. Wolff’s own business academy in Bielefeld including a tour of the company and networking opportunities to learn more about the importance and value of data driven marketing.


For a rough overview of the course please refer to the schedule below. Please note that this schedule may be subject to change.

  

What When
Application Phase March 16 - April 14
Kick-Off Meeting @MCM April 20, Noon-1pm
Kick-Off Meeting @TechLabs April 21
Online Learning Phase April - May
Group Project Phase June - August

 

To participate in the course, you need to successfully apply for the Data Science with R track at TechLabs between March 16 and April 14 via https://www.techlabs.org/apply. You will be notified about your acceptance status shortly after the application period has ended. Please feel free to adress questions via e-mail to lina.oechsner@uni-muenster.de.

Lecturers

  • Prof. Dr. Raoul Kübler (responsible)
  • Lina Marie Oechsner (accompanying)
  • Stefanie Dewender (accompanying)