2024/2025 KAN-CCMVA2405U Applications of Artificial Intelligence in Marketing
English Title | |
Applications of Artificial Intelligence in Marketing |
Course information |
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Language | English |
Course ECTS | 2.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | Summer |
Start time of the course | Summer |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Min. participants | 30 |
Max. participants | 60 |
Study board |
Study Board for cand.merc. and GMA (CM)
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Course coordinator | |
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Teaching methods | |
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Last updated on 07-11-2024 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||||||
On completion of this course, students should...
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Examination | ||||||||||||||||||||||||||||
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Description of activities | ||||||||||||||||||||||||||||
Assignment(s):
Students are expected to participate in the class discussions,
exercises and in-class presentations.
In addition the student must participate in minimum 80 % of the scheduled teaching. |
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||||
What is the main purpose of this course? This 2-week course provides an in-depth exploration of how advances in artificial intelligence (AI) can be harnessed to revolutionize marketing activities. Participants will gain a comprehensive understanding of how AI technologies (including generative AI tools such as ChatGPT, Dall-E and MidJourney) are transforming the field of marketing and can support business growth. Through practical examples and case studies(e.g., Amazon, Netflix, Starbucks), students will gain the knowledge and skills needed to apply AI effectively in the marketing domain, and they will learn how to leverage AI for various marketing activities, from data collection and processes to customer segmentation to the marketing mix decisions (product management, pricing, communication management, sales).
This course is not about programming AI tools or statistical issues behind AI; the course takes a more practical approach and looks at how and where AI can be applied in today's marketing.
Why is this course relevant? This course is highly relevant due to the transformative impact of AI on the business world. Many C-suite executives recognize the importance of scaling AI in their organizations to achieve growth objectives. However, they often struggle with implementation, as many business reports indicate. Furthermore, marketing is identified as the functional area where AI can provide the most value, according to a McKinsey analysis of real-world use cases. Therefore, understanding how and where AI can be applied in marketing is essential for businesses to remain competitive and deliver substantial benefits to both companies and consumers. This course is designed to provide such understanding and help students to apply AI effectively in marketing contexts.
What topics will be discussed in this course? The course demonstrates the impact AI has on today's marketing to create value for both organizations and consumers. For example, the followiong topics will be covered:
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Description of the teaching methods | ||||||||||||||||||||||||||||
The course is designed to be highly interactive and build upon principles of active learning. Students are expected to contribute to discussions about the impact of AI and they are invited to do group exercises throughout the course. | ||||||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||||||
Feedback will be provided from the teacher and through group work. | ||||||||||||||||||||||||||||
Student workload | ||||||||||||||||||||||||||||
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Further Information | ||||||||||||||||||||||||||||
2-week course that cannot be combined with other courses. |
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Expected literature | ||||||||||||||||||||||||||||
Selected readings include:
Specific reading instructions will be given at the beginning of and throughout the course on Canvas. |