Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


The course provides an in-depth understanding of digitalization and its implications for corporations. The student will gain an understanding of the key technological changes and their impact on management, organizing, and work. The course covers the impact of big data, artificial intelligence, and various mobile technologies on business models and ecosystems across retail, service, and manufacturing industries, and elaborates how these changes are reflected in strategy, organizational design, and work roles.

-Students will be able to analyze digital disruption of industries and to create realistic scenarios of potential development paths.
-Students will be able to assess and design business models that take advantage of digital data and formulate business development plans that take advantage of modular architectures and platforms.
-Students are able to scrutinize existing business processes and assess how their digitalization.

Credits: 6

Schedule: 07.01.2019 - 14.02.2019

Teacher in charge (valid 01.08.2020-31.07.2022): Henri Schildt

Teacher in charge (applies in this implementation): Katharina Cepa, Henri Schildt

Contact information for the course (valid 04.12.2018-21.12.2112):

Henri Schildt

Arkadia 3rd Floor

Student meetings by appointment, please email.

Assistant: Katharina Cepa

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English


  • Valid 01.08.2020-31.07.2022:

    The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. The course examines digital transformation from the perspectives of strategy, management practice, organizational design, and work processes.

  • Applies in this implementation:

    Updated description:

    The purpose of this course is to help the participants
    understand the changes created by digitalization in the domain of
    organizations, management, and strategy. After taking the course, the students
    will be able to analyze how digital data flows can be used to optimize existing
    operations and create new products and services. Students will work in teams to
    analyze industry-level changes brought by digital technologies and develop
    data-enabled service concepts and associated business models.

    Updated learning outcomes:

    The students should
    develop broad basic understanding of contemporary use of data analytics,
    machine learning, and big data in creation of services and products as well as
    managing processes within and across organizations. The specific learning
    points are: 

     Knowledge and theory:

    Basic understanding
    of key technologies: big data, cloud computing, Internet of Things, digital
    platforms, and API ecosystems.

    of basic software design principles, including stacks and modularity.

    and ability to analyze “digital disruption” of industries and to create
    realistic scenarios potential development paths.

    Understand how and
    why digital technologies are influencing business models, networks effects, and

    Ability to
    analyze and design business models enabled by digital data.

    the function of data scientists and business analytics in corporations and
    understanding how professionals and activities are typically organized and used.

    Understanding how
    companies leverage machine learning and data science to create smart

    Understand the
    variance-based and relational perspectives to data and data visualization.


    Practical skills:

    Basic skills in
    data visualization using Tableau

    Ability to
    analyze technology stacks and their strategic implications


Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    1. Participation and contributions in the classroom (10%)
    2. Group assignments, including peer evaluation (20%)
    3. Individual assignments (70%)

  • Applies in this implementation:

    The details about assignments will be released
    soon. Please see the schedule below for deadlines.

    Individual multiple choice questions on pre-readings

    Max 20 points

    Individual final assignment

    Max 50 points


    Group assignment #1Digital disruption of temporary work agencies.

    Max 20pts

  • Valid 01.08.2020-31.07.2022:

    Lectures 30h
    Assingments (individual work) 70h
    Readings & self-study videos 30h
    Group assignments 30h

    Total 160h (6 ECTS)


Study Material


Details on the schedule
  • Applies in this implementation:



    Digital strategy and data-driven



    Organizing with data / the data





    Software technologies and business

    Guest lecture, Otto Söderlund, CEO
    Speech Grinder



    Digital platforms and platform




    Re-inventing business models and
    customer value

    Vierailijaluento: Heikki  Koivula Director at Asiakastieto




    Using data to facilitate





    New strategic logics



    Digital transformation as
    organizational change


    Outi Herkepeus



    Ethics of data-driven businesses



     Group presentations