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2020/2021  MA-MMBAO1103U  Analytics and Digitalisation

English Title
Analytics and Digitalisation

Course information

Language English
Course ECTS 4 ECTS
Type Mandatory
Level Part Time Master
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for Master of Business Administration
Course coordinator
  • Jesper Rangvid - Department of Finance (FI)
Main academic disciplines
  • Information technology
Teaching methods
  • Face-to-face teaching
Last updated on 24-06-2020

Relevant links

Learning objectives
At the end of the course, the participant should be able to:
  • Identify and describe digitalization, disruption, the digital transformation of companies and its consequences for business models
  • Analyze the digital transformation (mega trends) by applying different relevant digital technologies (digital platforms, Internet of Things, Big Data, Blockchain, Artificial Intelligence, online market place, and cybersecurity)
  • Develop appropriate scenarios and recommendations for managing the digital transformation in your company. .
  • Reflect on the different scenarios that digitalization may create in your industry in the future.
Analytics and Digitalisation:
Exam ECTS 4
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Project
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
A written case assignment based on a case or a subject chosen by the teacher. The assignment must be formulated and given to the student at least 9 days prior to the expiration of the deadline. It should be 15 pages long and submitted to CBS Digital Exam. The exam is held internally, and the assignment is put forward and assessed by the relevant faculty.
The make-up/re-examination will be held as an oral examination if the number of registered candidates for the make-up/re-examination warrants that it may most appropriately be held as an oral examination.
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.


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 components:


  • Digitalization
    • Digitalization Vs IT
    • Digital business models
    • Digital mega trends
    • What is disruption
    • Low end Vs new market disruption
  • Platforms
    • Platform economics
    • Platform envelopment
    • Revenue side and subsidy side, same side and cross side effects
  • IoT – Internet of Things
    • Internet of Things
    • SIGFOX, LORA, ZigBee, 5G
    • New IoT enabled business models
  • Big Data and artificial intelligence (AI)
    • Big data and it characteristics (4Vs)
    • Algorithms
    • Predictive analytics
    • Machine learning
    • Man Vs Machine
  • Block chain and distributed ledger technology
    • Blockchain
    • DLT and smart contracts
    • Distributed Autonomous Organizations (DAO)
    • Cryptocurrencies, Bitcoins and Libra
  • E-commerce, global online marketplaces and the future of commerce
    • Amazon, WeChat and Alibaba
    • Monopoly, debundling and regulations. Access and ownership of data
    • From B2B to B2C company
    • The future of commerce
  • CyberSecurity
    • Ransomware
    • DDoS attacks
    • Surveillance
  • FinTech and TechFin
    • FinTech
    • InsurTech
    • PSD2, KYC, AML, GDPR
Description of the teaching methods
The course has diverse teaching methods using lectures, cases, reading and discussions. The class meetings are interactive and require ongoing engagement of the students.
Feedback during the teaching period
The Feedback: Ongoing feedback during class hours, as well as individual feedback on the exam report.
Student workload
Lectures 32 hours
Preparation + exam 78 hours
Module abroad 48 hours
Last updated on 24-06-2020