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2024/2025  MA-MMBAV2006U  Concentration in Digitalization and AI

English Title
Concentration in Digitalization and AI

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 (DIGI)
  • Stefan Henningsson - Department of Digitalisation (DIGI)
Main academic disciplines
  • Information technology
  • Management
Teaching methods
  • Face-to-face teaching
Last updated on 19-11-2024

Relevant links

Learning objectives
After completing this course students should be able to:
  • Identify and describe digitalization and AI as threats and opportunities for your business
  • Analyze the consequences of digitalization by applying complementary perspectives within 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
Examination
Concentration in Digitalization and AI:
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
Release of assignment An assigned subject is released in class
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

This course focuses on the design of businesses for the digital age. Digitalization has become an imperative force shaping success and failure in business. By harnessing the power of digital technologies, companies are developing new operating models, organizational structures, and managerial roles that are digital at their core. Technologies such as AI and digital platforms serve not only as tools, but also as essential frameworks that drive value creation and redefine how business activities are organized and managed. AI, in particular, has evolved into an intelligent partner, facilitating value generation, optimizing processes, and enhancing decision-making. This collaborative dynamic between humans and AI is reshaping productivity and innovation, enabling businesses to create solutions that adapt in real-time, forecast trends, and streamline operations.

 

Success in the digital age requires organizations to be geared towards exploiting constantly emerging new opportunities provided by technological innovations. Beyond launching a stream of digital projects, creating a company for the digital age requires a strategic approach that maximizes opportunities while addressing new challenges, such as cybersecurity risks and data integrity issues. This approach ensures that businesses can harness digital advances while safeguarding their operations and maintaining trust.

 

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

 

  • Digital value creation
  • Leveraging AI
  • Digital delivery models
  • Digital transformation processes
Description of the teaching methods
The interactive teaching methods we apply, including in-class discussions, workshops, poster sessions, walk-and-talks, field visits, and 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 44 hours
Exam 30 hours
Last updated on 19-11-2024