Business Data Processing

MET3 Business Data Processing

Autumn 2024

  • Topics

    The aim of the course is to provide students with basic knowledge of data processing and information technology, and to develop practical skills in the use of Microsoft 365, artificial intelligence and Power Plattform. There will be an emphasis on learning methods to formulate, analyse and solve economics/business issues

    The course is divided into the following main parts:

    • Building financial models and conducting analyses in Excel and Power BI
    • Databases and data modelling
    • Basic programming principles and development of applications in a low-code platform
    • General introduction to the use of modern information technology, artificial intelligence (AI) and Business Intelligence

    In each main part, theory, principles and methods will be illustrated. A booklet with practical exercises linked to the main parts of the course is available on Canvas alongside suggested answers to the exercises.

  • Learning outcome

    Upon course completion, the student:


    • has basic knowledge of economics/business data processing
    • has basic knowledge of principles for structured programming
    • has knowledge of information technology and the challenges of using information technology in business and society
    • has knowledge of databases and their uses
    • has knowledge of ethical issues related to sustainability, data protection and data processing


    • can build financial models in Excel
    • can retrieve, process and model data for further analysis and visualization in Power BI
    • can create data models in third normal form and simple dimensional data models
    • can create simple applications in MS Power Plattform

    General competence

    • can apply his/her knowledge and skills to solve business problems using appropriate information technology
    • can articulate business and technological needs related to specific database, application, and spreadsheet solutions

  • Teaching

    The course will consist of physical meetings, videos and physical group work.

  • Credit reduction due to overlap

    MET is the equivalent to MET030. Students will not get credit for both courses.

  • Compulsory Activity

    Individual assignment. Approved/not approved.

    Group presentation of case assignment. Approved/not approved.

  • Assessment

    Group-based oral examination based on a case assignment (cf. work requirement no. 2). Individual grade. Group size: 4-6 students and exam is 30 minutes per group.

    An assessment will not be organised in the the non-teaching semester (spring).

  • Grading Scale


  • Literature

    Announced at the start of the semester


ECTS Credits

Autumn. Offered autumn 2024.

Course responsible

Lecturer Hans Christian Torsvik, Department of Strategy and management

Associate Professor Trond Vegard Johannessen, Department of Strategy and Management