771A41 · 7.5 credits · Advanced level (A1F) · Computational Social Science
Research Internship in Computational Social Science
Active · next start HT 2026
100%
passed the latest regular sitting
FORP · 16 Jan 2026 · 5 students
100%
passed the regular sittings, all sittings over the last 5 years
FORP · 11 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 1 programme
Other module
FORP Research internship
- P
Main rounds
100% passed · 11 students
- 100%5
- 100%6
Later rounds
No sittings with at least 5 students.
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%3
- 100%1
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Written report
- P
Main rounds
100% passed · 6 students
- 100%6
Later rounds
No sittings with at least 5 students.
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%2
- 100%2
- 100%1
- 100%1
- 100%1
About the course
Aim
After completing the course, the student should at an advanced level be able to:
- Evaluate the suitability of various computational tools in order to perform a research task in the social sciences;
- Develop and implement appropriate computationally intensive approaches within the framework of a research task;
- Apply appropriate analyses and computational tools to a research problem;
- Relate computational methods applied to the research task to relevant social science research;
- Communicate the process and results from the assignment in writing.
Content
The course consists of a research assignment that is conducted within the framework of an existing research project. The task must include practical application of various computational social-scientific methods and approaches, such as, data collection and data processing, data analysis, development of new methods, and theoretical simulation-based analyses.
The student is responsible for proposing a research assignment and finding a supervisor. The project must be approved by the course coordinator before the course starts. In consultation with the course coordinator and supervisor, the tasks are determined in dialogue with the student.
- Examiner
- Carl Nordlund
- Main field of study
- Computational Social Science