BST 1140 Business Development and Digitalisation

BST 1140 Business Development and Digitalisation

Course code: 
BST 1140
Strategy and Entrepreneurship
Course coordinator: 
Tarjei Alvær Heggernes
Course name in Norwegian: 
Forretningsutvikling og digitalisering
Product category: 
Bachelor - Programme Electives
2024 Autumn
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

The course will give students practical knowledge and an understanding of how businesses can apply digital technologies to strengthen their value creation. Our perspective is that the right focus and good use of digital technologies can make businesses more efficient and constitute an important factor in innovation processes or a key element in products and services the business delivers.

Value creation is increasingly data-driven, through streamlining of processes and as a basis for faster and better decisions. The course, therefore, provides a perspective on how data is created, structured, refined, analyzed, and used. Data exists inside and outside the companies and added value can be created by combining data from different sources and by sharing data with others. This sharing entails challenges regarding data integrity, security, and privacy, and these challenges are also discussed in the course.

Students will learn how business processes are developed, improved, and utilized using digital technologies. They will also learn how digital services are developed through a structured innovation process. The course also includes the hands-on experience working with well-known business systems in the market and working analytically with various data sets.

Learning outcomes - Knowledge

After completing the course, students will:

  • Have knowledge of the types of business systems and technology used in businesses
  • Have knowledge of modern system architecture and its components
  • Have knowledge of digital tools for easy automation
  • Have insight into the theoretical foundation for digitalization
  • Have insight into a structured method for digital innovation
  • Understand the connection between digital technology, processes, and business development
  • Understand how digital business development takes place in different value configurations (value chains, value workshop, value network, and value access)
  • Have an understanding of how data is created and collected, structured, analyzed, and secured.
Learning outcomes - Skills

After completing the course, the students should be able to:

  • Describe the connection between digital solutions and processes
  • Analyze the business and operational consequences of digitalization
  • Implement a digital innovation process
  • Creating simple prototypes for digital solutions
  • Adopt digital tools for task automation
  • Apply common business systems
General Competence

After completing the course, students will:

  • Have a holistic perspective on digitalization, including ethical and security considerations
  • Curiosity and interest in digital innovation
  • Ability to familiarize themselves with a digital everyday life for businesses
  • Have a conscious attitude to your own data security
  • A reflective relationship to the role of digital in documenting sustainability
Course content

Digital technology in organizations

  • The role of digital systems in a business
  • Different types of digital systems (business systems)
  • Different forms of digitalization
  • The digital revolution - business and technology understanding

Information Systems and Technology

  • Information systems (digital systems)
  • Hardware and infrastructures
  • Technological development

Business systems and digital platforms

  • Processes, technology and people
  • Technology platforms, cloud services and ecosystems
  • Internet of Things
  • Data integration and interfaces
  • Data security and vulnerability

 Business development with digital technology

  • Strategic, tactical and operational changes
  • Situation analysis
  • Business processes: description, analysis, and change
  • Data structures and information flow

 Data-driven organizations

  • The role of small and big data in value creation
  • Use of artificial intelligence and machine learning
  • Insights, analytics, and data-driven decisions
  • Data-driven business models

 Privacy and ethics

  • Privacy and GDPR
  • Digital dilemmas
  • Sustainability
  • Circular economy

 Digital innovation

  • Innovation processes and uncertainty
  • Digital service development
  • Prototyping
Teaching and learning activities

The course is carried out with a number of tools such as digital teaching, classroom teaching with lectures, examples, group assignments and discussions. In addition, various tasks will be given to train digital skills.

In the course, students will have the opportunity to use computer tools for visualizations in the form of sketches and digital mock-ups. In addition, they will work with tools for processing, analyzing and presenting data.

See also comment about exam.

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

From the academic year 2024/2025, the type of evaluation in this course has changed from two exam elements (former exam codes BST 11402 and BST 11403) to one exam element (new exam code BST 11404).

Final re-sit exams in BST 11402 in autumn 2024, and BST 11403 are offered in autumn 2024 and last time spring 2025.


Two years of college education in economics and business administration, marketing or equivalent is required for taking the course.


Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Exam category: 
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Group/Individual (1 - 3)
1 Semester(s)
During the course, students will complete a number of assignments / exercises to practice analytical and practical skills in digitization. This is carried out in the form of a project assignment with several sub-assignments.
In order to promote the best possible learning, the sub-assignments must be submitted along the way for a formative peer review.
The assignments can be solved in groups that work together throughout the semester and submit a joint project assignment.
All sub-assignments are submitted together for the group at the end of the semester.
Exam code: 
BST 11404
Grading scale: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
Student workload
60 Hour(s)
Parts of the campus teaching can be carried out as digital teaching across campuses.
Prepare for teaching
150 Hour(s)
Group work / Assignments
150 Hour(s)
Student's own work with learning resources
30 Hour(s)
Feedback activities and counselling
10 Hour(s)
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 15 ECTS credit corresponds to a workload of at least 400 hours.