Research Internship in Computational Social Science, 7.5 credits

Forskningspraktik inom Computational Social Science, 7.5 hp

771A41

Main field of study

Computational Social Science

Course level

Second cycle

Course type

Single subject and programme course

Examiner

Carl Nordlund

Course coordinator

Carl Nordlund

Director of studies or equivalent

Carl Nordlund
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Language Campus ECV
Single subject course (One-quarter-time, Day-time) Autumn 2026 202634-202703 English Norrköping
F7MCD Computational Social Science, Master's Programme - First and main admission round 3 (Autumn 2026) 202634-202703 English Norrköping
F7MCD Computational Social Science, Master's Programme - Second admission round (open only for Swedish/EU students) 3 (Autumn 2026) 202634-202703 English Norrköping

Main field of study

Computational Social Science

Course level

Second cycle

Advancement level

A1F

Course offered for

  • Master´s Programme in Computational Social Science

Entry requirements

  • Bachelor's degree equivalent to a Swedish Kandidatexamen within one of the following subject areas:
    - humanities
    - cultural studies
    - social sciences
    - behavioural sciences
    - natural sciences 
    - computer sciences
    - engineering-sciences
    or equivalent
  • English corresponding to the level of English in Swedish upper secondary education (Engelska 6 or Engelska nivå 2)
    Exemption from Swedish
  • 45 ECTS credits completed in Computational Social Sciences

Intended learning outcomes

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.

Course 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.

Teaching and working methods

The teaching consists of supervision, participation in relevant activities within the research project, self-studies, and individual work with the stipulated research assignment.

Language och instruction and examination: English.

Examination

The course is examined through

  • completed research internship, EC (Pass/Fail)
  • individual written report, grading scale: EC (Pass / Fail)
     

Detailed information about the course examination can be found in the study guide.
 

If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.

If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaining the objectives of the course.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

ECTS, EC

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.

 

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly, or as a whole, in English. Examination language is Swedish, but parts of the examination can be in English.
  • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
  • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Department

Institutionen för ekonomisk och industriell utveckling
Code Name Scope Grading scale
FORP Research internship 2 credits EC
UPG1 Written report 5.5 credits EC
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