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Service Design Based on Data Analytics

3 credits

The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se.

About the course Service Design Based on Data Analytics, 3 credits

Who is this course for?
This course is for professionals who want to understand the challenges and opportunities in the overlap between AI, data science, and Service Design.

What will you learn from this course?
The aim of the course is for the student to understand how data and algorithms can affect business strategy and service design. The course looks at the underlying digital technology that digital service innovation is dependent on. In particular, the relationship between service-dominant logic, algorithmic and data-driven services, and business strategy is analyzed from a number of cases and examples. The central concepts of the course (e.g. service-dominant logic, business and societal impact of data-driven services, and human-centered service design) are inspected from several perspectives, including ethics, business strategy, sustainability, and personal integrity.


Primary contents
The course looks at the underlying digital technology that digital service innovation is dependent on. In particular, the relationship between service-dominant logic, algorithmic and data-driven services, and business strategy is analyzed from a number of cases and examples. The central concepts of the course (e.g. service-dominant logic, business and societal impact of data-driven services, and human-centered service design) are inspected from several perspectives, including ethics, business strategy, sustainability, and personal integrity.

Spring 2022 (Distance (Internet), Varied, 17%)

Level:

Advanced level

Application code:

23801

Entry requirements:

Degree of Bachelor or Degree of Bachelor of Science in Engineering or the equivalent of 180 Swedish credit points or 180 ECTS credits at an accredited university. Applicants must have written and verbal command of the English language equivalent to English course 6 in Swedish Upper-Secondary School.

Selection rules:

Credits: 100%

Start week:

week: 12

Number of gatherings:

0

Instructional time:

Various times

Language of instruction:

Teaching is in English.

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