Course

Digital Transformation in the Service Industries (BDS100)

This course gives an introduction and overview over successful and less successful digital transformation processes in the service industries. The course will give insights and understandings that are present in the development of an integrated and phased approach to digital transformation. It provides a framework for how service companies continually build the competencies, capabilities and momentum required to establish and sustain as a digital business actor.

The course will focus how digital transformation is helpful in managing the organizational transformations in the form of people and processes. Thereby how to define and recognize disruption in its various forms with the most common disruption strategies. Further, it will introduce the legal and ethical considerations that surround digital business practices like privacy and data protection. Finally, this course intends to give the students a clear understanding of how machine learning algorithms can contribute to make better decisions that involve complex and incomplete data by engaging students in peer discussions that will be moderated by the teacher and industry facilitators.


Dette er emnebeskrivelsen for studieåret 2025-2026

Fakta

Emnekode

BDS100

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

Norwegian

Antall semestre

1

Vurderingssemester

Autumn

Content

Module 1: Introduction and overview

Module 2: Opportunities and challenges for digital transformation

Module 3: The role of data and data ownership

Module 4: The process of digital transformation

Module 5: Digital business models in the service industries.

Module 6: People and the organization

Module 7: Technology and policy

Module 8: Conclusion and future developments.

Learning outcome

Knowledge

The candidate

  • Has broad knowledge on how digital transformation may be helpful in managing the organizational

transformations in the form of people and processes

  • Knows how to define and recognize disruption in its various forms by the most common disruption strategies
  • Has knowledge of how to navigate the legal and ethical considerations that surround digital business practices, especially privacy and data protection

Skills

The candidate

  • Can explain how machine learning algorithms can contribute to make better decisions that involve complex and incomplete data.
  • Can recognize challenges associated with digital service business platforms and strategic thinking behind such platforms.

General competences

The candidates

  • Can differentiate between successful and unsuccessful digital platforms, and why some incumbents are unable to adapt to disruption.
  • Can exchange opinions and experiences with others with a background in the field, thereby contributing to the development of good practice.
  • Are familiar with new thinking and innovation processes in the field of digital service development.

Forkunnskapskrav

Ingen

Exam

Form of assessment Weight Duration Marks Aid
Final closed book exam 1/1 4 Hours Letter grades


Vilkår for å gå opp til eksamen/vurdering

Compusory exercises

Participation in peer discussions that will be moderated by course facilitators, and solidify concepts via case studies, assignments, and quizzes.

Complete a capstone project at the end of the course that will address you to a real-world challenge.

Fagperson(er)

Course coordinator:

Sigbjørn Barlaup Pedersen

Method of work

Traditional teaching, peer discussions, quizzes. Group work, case discussions.

Åpent for

Open course for all students with an active right to study and who meet the requirements for general university admissions certification (GSK).

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1