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2022/2023  MA-MMBAV2002U  Concentration in Digitalization

English Title
Concentration in Digitalization

Course information

Language English
Course ECTS 10 ECTS
Type Elective
Level Part Time Master
Duration One Quarter
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for Master of Business Administration
Course coordinator
  • Jonas Hedman - Department of Digitalisation
  • Stefan Henningsson - Department of Digitalisation
Main academic disciplines
  • Information technology
  • Management
Teaching methods
  • Face-to-face teaching
Last updated on 04-07-2022

Relevant links

Learning objectives
After completing this course students should be able to:
  • Identify and describe digitalization threats and opportunities for your business
  • Analyze the digitalization need (opportunity) by applying relevant perspectives (digital platforms, AI in organization, innovation strategies in a digital world, and digital delivery models) of digitalization, as discussed during the concentration
  • Develop appropriate recommendations (strategies) for managing digitalization in your business in the future
  • Reflect on the different opportunities and threats that digitalization may create in your business
Concentration in Digitalization:
Exam ECTS 10
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 20 pages
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Spring and Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

Digitalization is changing the conditions for businesses across industries. Based on the enabling capacities of digital technologies, new business models emerge that are no longer simply supported by digital technologies, but have digital components inseparably inscribed into their processes and value proposition. At the heart of this digital transformation rests an increased orientation towards digitally enabled platform-based business models and how they create value. Consequently, we see how new ways of working emerge, where people and technology co-work to create value. One of the key activities that is changing is innovation within and across organizations, where digital technologies are both the means and the end in innovation. The digital innovations or resources need to be managed taking all new opportunities in mind as well as new digital threats, such as cyberattacks.


With this as a background we structure the course according to the following four elements:


  • Digital platforms
    • Platform economics
    • Platform leadership and management
    • Collaborating with platform businesses
  • AI in Organizations
    • Redesign work processes and tasks
    • Explainable AI
    • AI in Organizational decision making
  • Innovation strategies in a digital world
    • Dynamics of digital products and services
    • Architectures and combinatory innovation
    • Processes and structures for digital innovation
  • Digital delivery models
    • End-to-end management of continuous digital innovation
    • Governance models and decision making for digital investments
    • The cyber threat
Description of the teaching methods
The interactive teaching methods we apply, including in-class discussions, workshops, poster sessions, debates and walk-and-talks as well as guest presentations will yield the greatest benefit if you are prepared and ready for discussing the topics in the course material. Consequently, you are expected not only to read the material, but are also asked to reflect on its contents. In addition to your individual preparation you are asked to discuss and reflect upon some topics in groups. These group discussions will give you an opportunity to compare ideas and develop your thoughts of the topics discussed in class.
Feedback during the teaching period
Course participants will receive feedback continuously throughout the course from both the teachers and their peers. Teachers will be available during office hours to give feedback or answer questions from students. In the classroom, participants will receive both individual and group feedback on their learning progress
Student workload
Preparation/self-studying 135 hours
Teaching hours 80 hours
Exam 30 hours
Last updated on 04-07-2022