DE / EN

MKT 625: Business AI for Marketing and Sales

Contents
The course Business AI for Marketing and Sales introduces students to the strategic application of artificial intelligence in modern business environments. The course is entirely case-based and conducted in close collaboration with partner companies. Depending on the specific challenges and objectives of the partner, the case study may extend beyond marketing and sales to cover the entire value chain.
Students work in teams on a real-world business case, exploring how digital trans­formation and AI-driven technologies can create value and support innovation across the organization. The course emphasizes the practical design, development, and evaluation of AI-based solutions in a real business context.
Important: This course does not include classical lectures or frontal teaching. Instead, students work independently and in groups on the assigned case.

Learning outcomes
Upon successful completion of this course, students will be able to:

  • Understand and critically assess the role of AI across marketing, sales, and broader business processes.
  • Analyze and design digital customer journeys and business processes using innovative tools and platforms.
  • Apply AI-driven techniques such as predictive analytics and personalization in real-world business contexts.
  • Collaborate effectively in teams to solve complex, real-world business problems through digital and AI-based innovation strategies.
  • Communicate and present structured, actionable solutions to industry partners.

Necessary prerequisites

Recommended prerequisites
Basic knowledge of marketing concepts and digital technologies is helpful. Prior experience with data analysis or artificial intelligence is not required. Students should be comfortable working independently, collaboratively, and in a highly practice-oriented, case-driven learning environment.

Forms of teaching and learningContact hoursIndependent study time
Seminar2 SWS4 SWS
ECTS credits2
Graded yes
Workload60h
LanguageEnglish
Form of assessmentAs a final assignment, there will be a written assignment and a presentation.
Restricted admissionyes
Further informationWebsite of the Chair / “Student Portal“
Examiner
Performing lecturer
Prof. Dr. Florian Stahl
Prof. Dr. Florian Stahl
Dr. Dominic Bergers
Frequency of offeringSpring semester & fall semester
Duration of module 1 semester
Range of applicationM.Sc. MMM
Preliminary course work