Data, Ethics and Law

5 credits

Syllabus, Master's level, 1DL002

Education cycle
Second cycle
Main field(s) of study and in-depth level
Computer Science A1N, Data Science A1N, Human-Computer Interaction A1N, Image Analysis and Machine Learning A1N
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 17 October 2022
Responsible department
Department of Information Technology

Entry requirements

140 credits including 75 credits in mathematics and computer science of which at least 15 credits in computer science. Alternatively 45hp in the Master's Programme in Language Technology (HSP2M). Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

On completion of the course the student shall be able to:

  • apply different critical thinking frameworks to identify ethical dilemmas related to the analysis of data;
  • analyse the social consequences of data processing in specific application contexts;
  • assess an application scenario with respect to a given legal framework;
  • demonstrate knowledge and skills in dealing with and solving ethical problems in connection with the development and use of digital systems;
  • demonstrate the ability to participate constructively in an ethical dialogue and clearly explain ethical positions, choices and decisions;
  • in writing as well as orally, present one of the studied ethics theories (virtue ethics, utilitarianism, ...) in depth.


Legal analysis of how technical tools in data analysis comply with the legislation. Protection of personal data and privacy, differences and similarities. Protection of intellectual property. The impact of data analysis on the development of legislation. Balancing of various stakeholders' interests and how to address liability issues. The course introduces relevant ethical theories and provides a background in legal aspects.


Lectures, seminars and case studies.


Active participation in seminars. Oral and written assessment of assignments.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

No reading list found.