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Master

On this page you will find an overview of our range of courses for students in the Master programmes.

Lectures

Strategic Brand Management: Concepts and Applications

Description

After successful participation, students have a basic understanding of brands and know which aspects play a role in branding. In addition, they will understand and be able to critically discuss how brands are developed and positioned and which instruments are suitable for this. They can argue on the basis of theory why certain brand-related measures can be expected to have an effect and have methodological knowledge in order to measure the brand and quantify influencing factors. After successfully completing the course, students will also be able to formulate precise problems and research questions based on a complex practical issue in the field of brand management and develop a solution to the problem using the content and methods learned in the Strategic Brand Management lecture.

Organisation

  • Courses: Lecture Strategic Brand Management & Exercise Brand Strategy Bootcamp
  • Scope: 4 SWS / 5 credits
  • Cycle: Winter semester
  • Language: German
  • Exam: Written exam 60 minutes + portfolio
  • Contact: Julian Delius (Supervisor L), Dr. Hannes Gurzki​​​​​​​ (Lecturer E)

Stud.IP

Business Model Innovation: Concepts and Applications

Description

After successful participation, students have a basic understanding of business model innovation and know which factors play a role in the development of business model innovations. In addition, they will understand and be able to critically discuss how innovations are developed and which methods are suitable for this. They can argue on the basis of theory why certain corporate measures can be expected to have an effect on the success of innovation and have methodological knowledge to develop, evaluate and critically reflect on business model innovations themselves. After successfully completing the course, students will also be able to formulate precise problems and research questions based on a complex practical issue in the field of innovation management and develop solutions to problems using the content and methods learned in the Business Model Innovation lecture and other methods taught in the exercise.

 

Organisation

  • Courses: Lecture Business Model Innovation & Exercise Service Innovation
  • Scope: 4 SWS / 5 credits
  • Cycle: Winter semester
  • Language: English
  • Exam: Written exam 60 minutes + portfolio
  • Contact: Sören Rüther (Supervisor L), Rick Pingel (Supervisor E)

Stud.IP

Customer Relationship Management and Customer Analytics

Description

Students have an understanding of issues that arise in the context of recording, designing and evaluating customer relationships. Based on the concepts and methods they have learned, students will be able to independently identify, conceptually structure and analyze customer relationship management issues in various industry contexts. After successfully completing the course, they will also have methodological knowledge of the qualitative and quantitative analysis of customer and company data required to answer customer relationship management questions.

Organisation

  • Courses: Lecture Customer Relationship Management & Exercise Customer Analytics
  • Scope: 4 SWS / 5 credits
  • Cyvle: Summer semester
  • Language: German
  • Exam: Written exam 60 minutes + portfolio
  • Contact: Jan Gremmel (Supervisor L & Lecturer E)

Stud.IP

Additional offer

Specialization in economic methodology

Description

After completing this course, students will have advanced knowledge of multivariate data analysis methods in economics. They will be able to perform and interpret multivariate data analyses using the open source software R.

Organisation

  • Courses: Advanced Multivariate Data Analysis
  • Scope: 4 SWS / 5 credits
  • Cycle: Winter semester
  • Language: English
  • Exam: Written exam 60 minutes + portfolio
  • Contact: Bastian Land (Lecturer)

Stud.IP

Master seminar 1 (4 CP)

Description

The use of artificial intelligence (AI) is currently changing marketing research and practice and offers companies and researchers new opportunities for addressing customers, analysing data and making decisions. From personalised recommendations and automated advertising campaigns to conversational AI - the possible applications of AI in marketing are diverse and range from the analysis of large amounts of data to direct interaction with consumers. What impact does this technological development have on consumer behaviour? How do decision-making processes change when AI is used in customer communication or pricing? And how can companies use the latest AI-supported analysis methods to gain deeper insights into their target groups?

This seminar looks at the role of AI in marketing from two perspectives:

1. AI as a phenomenon: analysing the impact of AI on consumer behaviour and business strategies, including case studies of successful and failed AI-powered marketing efforts.

2. AI as a method: analysing how AI-based technologies are transforming marketing research and what new insights can be derived from them.

The seminar is aimed at students who are interested in innovative developments in marketing and would like to gain both theoretical and practical insights into the use of AI.

 

Subject areas

1. AI as a phenomenon: fields of application of AI in marketing

  • AI-supported personalisation: optimising the individual customer approach through AI.
  • Chatbots and conversational AI: Influence on customer interactions and service experiences.
  • Automated advertising campaigns: Utilising algorithms to better address target groups.

2. AI as a method: New research methods focussing on AI in marketing

  • Text, image and sentiment analysis: use of AI to recognise consumer moods and opinions.
  • Predictive analytics: How companies predict and react to customer behaviour.
  • Experimental AI methods: Machine learning to generate new marketing strategies.

Organisation

  • Courses: Master seminar Services Management 1
  • Scope: 3 SWS / 4 credits
  • Language: German/English
  • Examination: Written elaboration + presentation
  • Kickoff date:
    • April 10, 2025, 14:00-17:15, seminar room of the AIP (Mühlenpfordtstr. 23, 6th floor)
      Content: administrative and organisational aspects of the seminar as well as introduction to scientific work and the topic of AI in marketing.
  • Contact: Dr. Hannes Gurzki (Lecturer)

Please register for the Stud.IP event to receive information and news about the seminar. Further information (e.g. on the procedure and topic allocation) will be provided at the kick-off. The binding registration for the examination will take place via the TU-Connect portal as part of the kickoff event. Your presence at the kickoff is mandatory for participation in the seminar.

Stud.IP

Master seminar 2 (8 CP)

Description

In the Master's seminar (8 CP), current scientific questions are dealt with both conceptually and empirically. In the summer semester 2025, students will deal with the topic of non-fungible tokens (NFTs). NFTs represent a change in the way value is created, owned and traded in the digital world. This development raises numerous questions that are currently occupying both practitioners and academics: What added value do NFTs offer for stakeholders such as companies or consumers? What factors influence the valuation of NFTs? What role do the characteristics of blockchain technology play in this? The aim of the seminar is to go through the entire process of a research study and thus gain valuable experience in scientific work. Depending on the research questions, it is possible to use both qualitative and quantitative study designs. Students learn to formulate relevant and practical research questions, collect and analyse data and place the results in an economic context. The seminar is therefore a good preparation for the final thesis.

Organisation

  • Courses: Master Seminar Service Management
  • Scope: 3 SWS / 4 credits
  • Language: German/English
  • Examination: Written elaboration + presentation
  • Kickoff date:
    • April 25, 2025, 10:00-12:00, seminar room of the AIP (Mühlenpfordtstr. 23, 6th floor):
       Content: administrative and organisational aspects of the seminar as well as introduction to scientific work and the topic of NFTs
  • Contact: Bastian Land (Lecturer)

Please register for the Stud.IP event to receive information and news about the seminar. Further information (e.g. on the procedure and assignment of topics) will be provided at the kickoff on 25 April. Binding registration for the examination will take place via the TU Connect portal as part of the kickoff event. Your presence at the kickoff is mandatory for participation in the Master's seminar.

Stud.IP

Basics of scientific work

Description

Academic work is one of the core competencies of the degree course and is a necessary prerequisite for obtaining a Bachelor's or Master's degree. In both theoretical and highly interactive units, the seminar covers the basics of academic work, such as structuring a paper or literature review. In addition, you will learn "storytelling" for your thesis in order to create and maintain the central theme of your work. The interactive units also provide the opportunity to address individual questions and your own examples.

Organisation

  • Courses: Basics of scientific work
  • Scope: 2 SWS / 1 credit
  • Cycle: every semester
  • Language: German
  • Exam: Presentation
  • Contact person: Jan Gremmel (Lecturer)

Stud.IP

Further information

Methods in Services Research

The course Methods in Services Research is no longer offered. If you have any questions regarding the course, please contact b.land(at)tu-braunschweig.de.

Vertriebsmanagement

Since the summer semester 2024, the course Sales Management has been offered by the Institute of Marketing. In the winter semester 2024/25, you will have the last opportunity to have the course credited by the Chair of Service Management.

Exam modalities

New enrollment logic:

We offer three modules in the Master's program, each with 5 credits. These can each be taken as an orientation and as an in-depth combination (2 out of 3). The methods module (Advanced Multivariate Data Analysis) can be credited for ToM and Business Engineering in Urban Mobility in the methods area. In the degree programs Business Informatics and Industrial Engineering and Management as an interdisciplinary qualification/profile building.

Old enrollment logic:

Old enrollment logic:

Orientation

  • Orientation A consisting of the lectures "Strategic Brand Management" and "Business Model Innovation" (formerly Service Design)
  • Orientation B consisting of the lectures "Customer Relationship Management" and "Sales Management" (formerly Sales Management)1

Specialization

  • Specialization A consisting of the lecture "Customer Relationship Management" OR "Sales Management"1 AND one coursework.2
  • Specialization B consisting of the lecture "Strategic Brand Management" OR "Business Model Innovation" (formerly Service Design) AND one coursework.2

1Since the summer semester 2024, the Institute of Marketing offers the course Sales Management (formerly "Sales Management") and also prepares the corresponding exam. For information on this exam, please contact the Institute of Marketing.

2The course Methods in Services Research is no longer offered. One of the exercises (Service Innovation, Brand Strategy Bootcamp or Customer Analytics) can be taken as coursework. If you have any further questions regarding the course, please contact b.land(at)tu-braunschweig.de.


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