ASDK20012U Academic internship (30 ECTS)

Volume 2025/2026
Education

The course is only open for students enrolled in the MSc programme in Social Data Science.

 

NOTE: This is the course description for Academic Internship 30 ECTS. The information in this course description is ONLY applicable to you if you are registered for 30 ECTS.

Content

The purpose of the academic internship is to provide students with an opportunity to get hands-on experience for research and/or commercial or social purposes. Through a formalized attachment to a company, public institution, research institute or similar, the student will perform tasks and at the same time be able to apply academic skills in a practical context. Students are only allowed to register for the course once in the course of the Master’s degree programme.

Learning Outcome

At the end of the academic internship, students are able to:


Knowledge:

  • Critically and independently reflect upon and discuss the applied social data science theories and methods to a chosen topic. 
  • Account for the validity, scope and usefulness of relevant data as part of the social data scientific assignment.

 

Skills:

  • Apply and discuss for relevant theories and methods in a practical context.
  • Independently summarize and analyse a topic in a well-structured written assignment.
  • Carry out and implement social data science-based analysis in a practical context

 

Competences:

  • Independently identify and select relevant theories to examine a practical case
  • Gauge and evaluate the relevance of methods for collecting and analysing data for practical cases.
  • Formulate a comprehensive research design to investigate the chosen case
  • Independently analyse and apply academic literature relevant to a specific problem statement

 

This course is conducted primarily as an independent study.

Internal supervisor
Students enter into supervision agreement with one of the full-time teachers who are involved in the Master’s degree programme in Social Data Science or an affiliated part-time lecturer, a PhD student or a postdoc. The supervisor is responsible for approving and monitoring the academic internship, and for ensuring that the learning outcome is achieved.

External supervisor
Students must be assigned an external supervisor employed at the place of the academic internship. The external supervisor continuously develops and evaluates the academic internship together with the student in accordance with the expected learning outcome.
  • Category
  • Hours
  • Practical Training
  • 650
  • Exam
  • 175
  • Total
  • 825
Oral
Individual
Continuous feedback during the course of the semester
Credit
30 ECTS
Type of assessment
Home assignment
Type of assessment details
Individual or in groups of two. If two internees are working on the same topic, at the same company, and with the same supervisor they can write their exam together.

Length of the home assignment: 20 pages for one student and 25 pages for two students.
Examination prerequisites

All students must on two occasion submit preliminary considerations regarding their social data scientific assignment and recieve feedback from the internal supervisor.

Aid
All aids allowed

ChatGPT and other large language model tools are permitted as a dedicated source, meaning text copied verbatim needs to be quoted, the tool cited, and generally the specific use made of them needs to be described in the submitted exam.

Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam

The second and third examination attempts are conducted in the same manner as the ordinary examination.

Criteria for exam assesment

Students are assessed on the extent to which they master the learning outcome for the course.

 

To obtain the top grade “12”, the student must with no or only a few minor weaknesses be able to demonstrate an excellent performance displaying a high level of command of all aspects of the relevant material and can make use of the knowledge, skills and competencies listed in the learning outcomes.

 

To obtain the passing grade “02”, the student must in a satisfactory way be able to demonstrate a minimal acceptable level of the knowledge, skills and competencies listed in the learning outcomes.