Courses Bachelor Display 2025-2026
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Course title | Marketing Management | |||||||||||||||||||||||||||||||||||||||
Course code | EBC2009 | |||||||||||||||||||||||||||||||||||||||
ECTS credits | 6,5 | |||||||||||||||||||||||||||||||||||||||
Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
Period |
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Level | Intermediate | |||||||||||||||||||||||||||||||||||||||
Coordinator |
Jonas Heller For more information: j.heller@maastrichtuniversity.nl |
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Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
Goals |
Marketing Management focuses on the development of a better understanding of core marketing issues through the analysis of real-life marketing problems and marketing decision-making in an international context.
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Description |
In today's internationally oriented business environment, it is crucial for prospective managers to understand how artificial intelligence is transforming marketing practices while mastering fundamental marketing concepts. Marketing Management builds upon the first-year course 'Management of Organisations and Marketing', requiring basic managerial, marketing, and statistical knowledge as prerequisites.
The course combines theoretical foundations with hands-on experience using AI tools in marketing. Through the Brand Research Project (BRP), students create and evaluate a new brand using both traditional marketing techniques and AI applications. Working in teams, students use AI tools (like ChatGPT and DALL-E or others) to generate brand elements, then empirically test their effectiveness through marketing research. The course combines three distinct types of tutorials: brand development, marketing research, and student-led facilitations. In the first three tutorials, students develop their brand concept using AI tools, focusing on creating and refining brand elements like logos and brand statements. The next series of tutorials equips students with marketing research skills, teaching them to design surveys, collect data, and conduct statistical analyses. In the middle of the course, student teams facilitate tutorials focused on contemporary marketing topics such as integrated marketing communications, viral marketing, and influencer marketing. Tutorial sessions blend PBL-guided discussions with practical exercises in AI-assisted marketing. Students learn to critically evaluate AI-generated content, develop effective prompts for AI tools, and understand when and how to best leverage AI in marketing contexts. The course is particularly valuable for students interested in understanding how AI is transforming international marketing practices. Whether pursuing a career specifically in marketing or seeking broader management expertise, students will gain essential skills in combining traditional marketing knowledge with emerging AI capabilities. |
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Literature |
The course will cover academic articles on marketing, branding, and AI as well as selected chapters from marketing research and statistical textbooks.
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Prerequisites |
o Course1.1: Management of Organisations and Marketing;
o Knowledge of marketing and statistics at a basic level; o An advanced level of English; o Exchange students need to have taken at least one marketing and one statistical course at introductory level; |
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Teaching methods (indicative; course manual is definitive) | PBL / Presentation / Lecture / Assignment / Papers / Groupwork / Research | |||||||||||||||||||||||||||||||||||||||
Assessment methods (indicative; course manual is definitive) | Final Paper / Attendance / Participation / Written Exam / Assignment / Presentation | |||||||||||||||||||||||||||||||||||||||
Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
This course belongs to the following programmes / specialisations |
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