Course offered as a part of a programme, Master’s level
15 hp
Malmö daytime 100%
30 August 2021 - 7 November 2021

About the course

In the course, students advance their knowledge and understanding of qualitative and quantitative methods and methodologies for data analysis. The course focuses on the use of data and visualization techniques to analyze complex phenomena and to build models to support research or decision making related to media technology.

This course is offered as part of a programme:

Media Technology: Strategic Media Development, Master's Programme (Two-Year)

Course content

  • qualitative and quantitative methods for data-driven analysis, such as data mining, network analysis, content analysis and digital ethnography,
  • processing and analysis of various forms of data,
  • data visualization and modelling,
  • statistical concepts and principles,
  • tools for data-driven analysis and visualization.

Syllabus autumn 2021

Admission requirements

Admission requirements

  1. Bachelor degree in media technology or in a related field with a minimum 180 European Credit Transfer System credits. Examples of related fields include: computer science, informatics, information systems, human-computer interaction, interaction design, media/IT management, game development, media and communication science and digital cultural studies.
  2. English proficiency equivalent to English 6 from a Swedish upper secondary school

Course literature

  • Jewitt, C. (Ed.). (2017). The Routledge handbook of multimodal analysis. New York: Routledge.
  • Kirk, A. (2016). Data Visualization. Los Angeles: SAGE Publications.
  • Rogers, R. (2019). Doing Digital Methods. Los Angeles: SAGE Publications.
  • Salganik, M. J. (2017). Bit by Bit: Social Research in the Digital Age. Princeton: Princeton University Press.

These will be additional readings.

Course evaluation

The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).

Contact

This education is provided by

Faculty of Technology and Society

The Faculty of Technology and Society, TS, conducts education and research with a focus on technology and natural sciences, in...

Department of Computer Science and Media Technology

The Department of Computer Science and Media Technology provides research-linked courses and study programmes at first-cycle an...