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Data Science in Practice


Admission requirements

This course is open to Master's students Data Science: Computer Science and ICT in Business and the Public Sector.


This course provides a Fieldlab which prepares students for application of data science in real-life settings. Students work in Fieldlabs on real data problems. The students will explore the problem provided in the fieldlab, research data availability, investigate the quality of the data and designing of tools which can be deployed for a solution that addresses the problem. The context of the problem will be investigated, including the relevant data regulatory framework. The Fieldlab will be addressing problems in the context of the Virus Outbreak Data Network (VODAN). Materials will be provided during the course.

Course objectives

  1. Demonstrable ability to use tools to structure a full data science project cycle from problem to solution
  2. Skills developed to work in an interdisciplinary, group and real-life setting
  3. Skills to report on design studies at academic level
  4. Knowledge of concepts related to centralized and distributed data collection and visiting and associated concepts of determining data quality
  5. Knowledge of boundaries for development of solutions in real-life within ethical and regulatory limitations
  6. Knowledge to determining data representation for proposed solutions and limitations of use-case
  7. Knowledge on adoption processes of innovative solutions


The most recent timetable can be found at the Computer Science (MSc) student website.

Mode of instruction

  • Research.

Assessment method

Assessment and grading method (in percentages):

  • group-assignments: 40%

  • group-presentation: 20%

  • individual essay: 40%

Retake possible of essay (40%)

To complete the final mark, please take notice of the following:

1) the final grade for the course is established by determining the weighted average

The teacher will inform the students how the inspection of and follow-up discussion of the exams will take place.

Reading list

  • Reading material and tools offered during the course


  • You have to sign up for courses and exams (including retakes) in uSis. Check this link for information about how to register for courses.



For any special needs in relation to group work or any other special needs, please contact the lecturer.