EPDE2023/1168
Regardless of being integrated into existing design programmes or being offered as stand-alone
programmes, the pedagogical developments in service design can be interpreted as the need to deliver a
unique knowledgebase and skillset for service design to prepare graduates for sectoral needs better. In
the service-dominant logic, services are co-produced between users (customers) and service providers
[7]. Designers need to consider how an experience around a service evolves over time and space to fully
capture the interactions around multiple stakeholders and various digital and physical touchpoints [3].
At the same time, they need to consider the societal and environmental impact of their service design
decisions for the global wellbeing [1,4]. Such plurality and complexity warrant a system-level approach.
This brings the efficient and effective communication of systems, especially in cross-disciplinary teams,
as a major concern in service design. In contemporary service design practice, communication tools
such as visualisation techniques and prototyping are central to the service design process [6].
The systems mindset, methods, and tools in service design practice are familiar to the ones applied in
the industrial design discipline [5]. This brings a question about integrating service design content into
the industrial design curriculum. For service design to flourish sustainably within the higher education
ecosystem, it is essential to understand the current state of the pedagogical offerings. Our paper provides
an important first step to filling this knowledge gap by providing a snapshot of the service design
offerings in higher education.
2 METHOD
To sketch the current state of service design education, we systematically analysed existing courses and
programmes specific to service design offered by design schools worldwide. To do so, we consulted QS
World University Rankings [10], a highly reliable international university ranking. We explored the
service design courses and programmes offered by the first 50 universities’ design programmes listed
on QS World University Rankings by “Subject 2022: Art & Design.”
We followed two strategies to extract the service design courses and programmes. First, we conducted
a keyword search with the term service design (without quotation marks) on the official website of each
university. We searched for information on courses or programmes in the results. We also explored the
websites specific to each university's design schools and analysed the curriculums of the programmes
offered in these schools to define courses. Second, we conducted keyword searches on google with the
university name in quotation marks followed by service + design as well as the university name in
quotation marks followed by the following terms: modules, curriculum, schedule, “course catalogue,”
“courses offered,” “course offerings,” “course list,” “classes offered,” and “class offerings.” This second
search strategy allowed us to access course catalogues for the universities that share them publicly. In
these course catalogues, we searched for the courses with the term service in the course title. We
specifically did not search with “service design” as our initial trials showed that there are service design
courses that do not use this term in their title but use service alone.
We limited our search to schools of design and undergraduate and graduate programmes, but not
masterclasses, online short courses, MOOC courses, or certificates. We only searched for the most
current course catalogues available; we did not do a retrospective search (which was also not a feasible
approach). We did not include the courses and programmes from other schools, such as business (e.g.,
Aalto University Master of Business Administration in Service Design) and architecture (e.g., Building
Services course offered by Pratt Institute), as our primary focus is the implications of service design on
industrial design curriculum. On the other hand, we included all courses in design schools where
industrial design programmes are a part, as industrial design students have a higher chance of taking
these courses as electives.
We collected data on the university name, school/college, department/programme, course name,
instruction level (undergraduate, graduate), course description, and country information for the courses
along with data on the university name, school/college, programme name, overview/description,
programme type (undergraduate, graduate), degree granted, total credits, and country information for
the programmes. Course descriptions and programme overviews/descriptions were analysed using the
R statistical computing language. We implemented topic models using LDA (Latent Dirichlet
Allocation) algorithm to cluster the courses according to topics and cosine similarity measures to
examine the extent of similarity between course descriptions. We only report quantitative results for
course descriptions because of space limitations, noting that programme descriptions show a similar
trend.