Non-stop
Kursnamn Introduction to data economy (Master’s level)
Kursdatum 01.06.2024 - 31.12.2024
Yrkeshögskolan Laurea-ammattikorkeakoulu
Kursens språk Engelska
Studiepoäng 1 SP

Bransch HUBBEN för alla
Lärare Anssi Mattila
Email
För öppna YH studenter Nej
Nivå Högre YH

Frågor relaterade till registreringspraxis
Anmälningstid 20.05.2024 - 24.11.2024
Kursförverkligande
Anmälning
Anmälningsinformation

Introduction to data economy (Master’s level)

01.06.2024 - 31.12.2024

Beskrivning

Student is able to

  • Explain why organizations need to apply data in decision making
  • Explain where the data comes from and how it can be used (buying, selling, collecting data, big data from IoT, digital platforms and APIs, machine learning and AI vs. statistical methods)
  • Identify the role of information in a value creation process
  • Identify key business models enabled by digital data
  • List a few “no-code” ways of experimenting with data products to validate the business model
  • Summarize how intellectual privacy regulations shape the data economy

Förkunskapskrav

Only for Master’s level students.

Bedömningskriterier

Approved/fail

Arbetsformer och schemaläggning

  • Independently studied online course.
  • All necessary materials are provided on the course platform.

Videos, quizzes and articles in four different modules.

  • Module 1: Data economy in brief
  • Module 2: Data sources and business models
  • Module 3: Role of information in value creation
  • Module 4: Next steps in data economy

Info

  • Course has been produced in corporation with Osaango Oy.
  • Lecturers on the videos are experts in data economy.

Anmälningsinformation

  • Enrol through your university’s student’s desktop (Pakki/Peppi)
  • If your university hasn’t yet joined the cross-study service, enrol with the separate enrolment form.
  • More information at page Cross-institutional student arriving at Laurea from another university
  • Questions relating to enrolment always at openuas@laurea.fi. The teachers respond only to questions related to the content of the course.