Norwegian version

AI-journalism: Introduction to statistics and data analysis

Continuing education

This course is aimed at practicing journalists and introduces methods for analysing larger data sets. As data becomes increasingly central to news reporting, understanding statistical analysis is key for journalists. This course introduces statistical techniques used to explore data and uncover newsworthy stories.

  • Continuing education in AI-journalism

    OsloMet offers a cluster of courses in AI-journalism aimed at practicing journalists.

    In an era of big data, mastering data analysis and visualization techniques is crucial for any journalist looking to provide impactful and informative stories.

    These courses offer practical skills and knowledge that can enhance any journalist's professional profile and make them stand out in a competitive job market.

    These continuing education programs will be offered soon:

    • AI-journalism: Applied artificial intelligence and AI-journalism project
    • AI-journalism: Data visualization and interactive dashboards
    • AI-journalism: Follow the money using AI-journalism
    • AI-journalism: Investigative journalism with data analysis and programming
  • Admission requirements

    Admission requires Higher Education Entrance Qualification to Norwegian Universities (, including proficiency in English (generell studiekompetanse). Norwegian language proficiency is not required.

    Qualified applicants will be admitted continuously until the course is full. Some study places may be reserved for students recruited by or through partners of OsloMet.

  • How to apply

    Applications are submitted using Søknadsweb (, where you fill in your details and upload required documents.

    Choose "Videreutdanning og oppdragsstudier". Then choose "Bransjerettede videreutdanninger ved Fakultet for samfunnsvitenskap".

    Admissions opens 1 May 2023.

  • Programme structure

    Optional course Spans multiple semesters

    1st year of study

  • Programme content

    The content is designed to train the participants in state-of-the-art techniques in data analysis. This will enable the students to interact independently with the data and draw insights from them.

    This is a hands-on course where the students will learn from implementing the analysis themselves with close supervision. The course will focus on case studies using data from real cases; advanced students may choose to use their own data.

    The students will develop understanding through constant presentation of their work and dialectical reflection over their choices, results, and interpretations.

  • How the programme is taught

    The course will take a hands-on learning approach in addition to learning the theoretical concepts behind programming. Course participants will work in groups on a project relevant to journalism.

  • Costs