2024/2025 KAN-CDSCO2401U Data, Platforms and Digitalization
English Title | |
Data, Platforms and Digitalization |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Mandatory (also offered as elective) |
Level | Full Degree Master |
Duration | One Semester |
Start time of the course | Spring |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Master of Science (MSc) in Business Administration and Data
Science
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Course coordinator | |
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Main academic disciplines | |
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Teaching methods | |
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Last updated on 10-04-2024 |
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Learning objectives | ||||||||||||||||||||||||||
During the course, the students will develop
analytical skills and abilities to assess market developments, and
thereby, improve their capabilities to engage in individual and
group decision making under uncertainty and solve specific business
problems. Upon completion of the course the students will be able
to develop and present concrete solutions to market problems and
advise firms about how to deal with datafication challenges and
opportunities.
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Examination | ||||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||
The major theories of economics of information, network economics and business economics will be the building blocks of this course. The course will start by examining how they can or cannot be used to analyse the impact of digialization and inform business strategies of digitalization. Then, selected issues with wide impact on firm’s strategy and market analysis will be presented. Indicative examples include digital transformation of busiensses and markets, digitalization on business processes, products, and services, digital platfroms disrupting markets and transforming traditonal industires and the consequnces for the firm's competitive advantage. |
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Description of the teaching methods | ||||||||||||||||||||||||||
The course will be conducted in sessions of three time-slots (3x45). Each session is strongly based on students’ participation. Following the introduction, each session includes lectures presenting specific theoretical issues, practical examples to further the understanding of the theory as well as students’ participation in the discussions about specific business cases. CBS Learn is used for sharing documents, slides, exercises etc. as well as for interactive lessons if applicable. | ||||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||||
During the first session the students will be prompt to decide on the business idea for the project. In the following sessions the students will be provided feedback on how the topics of each session could relate to their project through a set of questions presented in the slides that would be discussed in the corresponsing session. | ||||||||||||||||||||||||||
Student workload | ||||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||||
The literature can be changed before the semester starts. Students are advised to find the final literature on Canvas before buying any books.
Textbook: Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI: strategy and leadership when algorithms and networks run the world. Harvard Business Press.
Notes, articles, chapters and webpages will be handed out/made available during the course
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