Credits: 6

Schedule: 07.01.2020 - 13.02.2020

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.

Details on the course content (applies in this implementation): 

Please see the syllabus in "Materials". The first lecture is on Monday January 13th at 9.15.

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

Details on the schedule (applies in this implementation): 

Please see the syllabus in "Materials". The first lecture is on Monday January 13th at 9.15.


Registration and further information