Credits: 6

Schedule: 03.01.2018 - 07.02.2018

Teacher in charge (valid 01.08.2018-31.07.2020): 

Henri Schildt

Teaching Period (valid 01.08.2018-31.07.2020): 

Period III (2018-2019)
Period III (2019-2020)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

Knowledge and theory:
• Basic understanding of big data, cloud computing, internet of things and API ecosystems as phenomena and technologies
• Understanding 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 platforms
• Basic understanding of business model design and the business models enabled by digital data
• Understanding the function of data scientists in corporations and understanding how they are typically organized and used
• Understanding how various data sources are used to answer basic business questions through analytics
• Understand the variance-based and relational perspectives to data and data visualization

Practical skills:
• Ability to design basic the most basic data analyses to describe and improve business processes
• Ability to create simple business-relevant analyses from relational databases using Structural Query Language
• Basic understanding of application programming interfaces (APIs) and how they are used
• Basic skills in data visualization using Excel and Tableau

Content (valid 01.08.2018-31.07.2020): 

The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. We examine the changes created by digital technologies through four related themes: big data and business analytics, artificial intelligence and smart automation, changing ecosystems, and digital organization & culture. These themes, together with digital marketing and delivery channels, help understand why established leaders in many industries are being "disrupted" by new agile companies.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

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

Workload (valid 01.08.2018-31.07.2020): 

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

Total 160h (6 ECTS)

Study Material (valid 01.08.2018-31.07.2020): 

Online self-study module
Book chapters

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

via WebOodi