On A Computer Science Master Program For Sustainable Development

Daniel Einarson

Research output: Contribution to journalArticlepeer-review

Abstract

Sustainable development and the UN’s Sustainable Development Goals have been pointed out as crucial for our common future, addressing several aspects of a world to be considered as sustainable. From a university perspective it is certainly interesting, and important, to see how research and education contribute to that context, which may be seen from both disciplinary, and multi-disciplinary perspectives. A one-year Master Program in Computer Science for Sustainable Development, at Kristianstad University (HKR), Sweden, has a background in the UN’s Agenda 2030, and in statements, claiming that ‘at the edge’-techniques, from areas such as Artificial Intelligence, and Datamining are crucial to approach each and one of Agenda 2030’s 17 Sustainable Development Goals. With this background, that Master program, was initiated to provide, for students at a master level, challenging disciplinary subjects, as well as an interesting and valuable context to contribute to, with their technical skills. To furthermore approach the students’ maturity in the field, the program is supported by courses regarding, on one hand (1), Sustainable Development, and how Computer Science generally may contribute, and on the other hand (2), advanced projects where concepts and techniques shall be practiced within research contexts. It shall also be mentioned that the program is open for students internationally, thus bringing further interesting values through the mutual sharing of experiences from international perspectives. This contribution intends to provide an overview of the program, as well as a more in-depth presentation of the two abovementioned courses.
Original languageEnglish
JournalEuropean Society for Engineering Education (SEFI)
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • Sustainable development
  • UN’s Sustainable Development Goals
  • Computer Science
  • Artificial Intelligence
  • Datamining
  • Agenda 2030
  • Master Program
  • Kristianstad University
  • international students

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