EPN-V2

DATA3300 Entrepreneurship in Practice Course description

Course name in Norwegian
Entreprenørskap i praksis
Weight
10.0 ECTS
Year of study
2026/2027
Course history
Programme description
  • Introduction

    In this course, students will acquire knowledge, insights and experience that will lay the foundation for practical entrepreneurship in technology. The student will be exposed to and learn from a number of examples partly based on teaching, guest lectures held by current technology entrepreneurs and others with start-up experience, and partly through case studies and the development of new ideas for value creation and sustainability based on their own student start-up project. In this way, the student will gain an understanding of practical issues and challenges that a start-up company may face, as well as potential solutions to these. An important part of the course is process work through Design Thinking to generate good ideas for further collaboration and group work on the start-up project. The course consists of varied teaching forms and work activities to promote learning. Such activities also include group assignments connected directly to the start-up project and team roles.

    Language of Instruction: Norwegian

  • Recommended preliminary courses

    TEK2850 Innovation and Sustainable Business Models

  • Required preliminary courses

    None beyond general admission requirements.

  • Learning outcomes

    On successful completion of this module students should be able to:

    Knowledge:

    Students

    • possess knowledge about different forms of entrepreneurship
    • understand key concepts related to entrepreneurship
    • are aware of available financial sources for start-up companies
    • possess knowledge about different factors that affect the process from idea to start-up business
    • know different types of surveys and analysis that can be used in a business model to assess the potential of a start-up company.

    Skills:

    Students can

    • develop simple business models
    • conduct simple market research
    • carry out design thinking processes
    • collaborate with others in entrepreneurship processes and understand different team roles

    General competence:

    Students

    • can carry out minor analysis of existing and planned start-up companies
    • understand the connection between innovation and entrepreneurship
    • understand how different factors affect the entrepreneurial process
  • Teaching and learning methods

    Teaching, guest lecture, design thinking, process work, visit, tutorial, assignments, student group presentations. The student works individually and in groups (three to five students).

  • Course requirements

    Work requirement 1: Participation in a Design Thinking process (two days) which creates the foundation for the start-up project and a presentation of the start-up project in the form of a group based pitch (about 90 seconds).

    Work requirement 2: Further development of the start-up project with written assignments delivered by each group consisting of (i) a Business Model Canvas (1 page), (ii) Analysis of the market potential, and (iii) Financial sources (maximum 1 page text).

    Work requirement 3: The group makes a video of maximum 5 minutes which presents the team and its different team roles.

    All of the work requirements must be approved before the candidate can take the exam.

  • Assessment

    The exam will be closely linked to the start-up project and its development throughout the course. The exam consists of the following parts:

    • A written group submission (3-5 participants) (maximum 8 pages, including cover page and table of contents) - counts for 40% of the final grade.
    • A written individual submission (maximum 5 pages, including cover page and all other content, except the reference list, which is in addition to the five pages) - counts for 60% of the final grade.

    The exam result may be appealed.

    In the case of a resit or deferred exam, a different form of assessment may be used, or a new assignment with a new deadline may be given. If an oral exam is used, the result cannot be appealed.

  • Permitted exam materials and equipment

    All aids are allowed as long as the rules for source referencing are followed. If tools of artificial intelligence has been used, the candidate(s) must describe how it has been used in the particular delivery/text. This can be added after the list of references.

  • Grading scale

    Graded scale A-F.

  • Examiners

    One internal examiner. External examiners are used regularly.