Academic internship (15 ECTS)

Course 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

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 15 ECTS. The information in this course description is ONLY applicable to you if you are registered for 15 ECTS.

Learning outcome

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


Knowledge:

  • Identify and refer to relevant theories and methods in a practical context.

 

Competencies:

  • Critically reflect upon the acquired insights into and practical experience with the execution of work tasks relevant to social data science. Discuss empirical implications with data collection at the internship site with reference to literature and experiences from the study program

 

Skills:

  • Independently summarize and analyse a practical case in a well-structured written report. Independently identify and select relevant theories and methods to examine a practical case.

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.

Oral
Individual
Continuous feedback during the course of the semester
ECTS
15 ECTS
Type of assessment
Home assignment
Type of assessment details
Academic internship report submitted individually: 10 pages.
The exam is graded as pass/fail. The exam is graded by the internal supervisor.
Examination prerequisites

All students must on one occasion submit preliminary considerations regarding their academic internship report 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
passed/not passed
Censorship form
No external censorship
Exam period

Exam information:

The examination date can be found in the exam schedule    here

The exact time and place will be available in Digital Exam from the middle of the semester. 

Re-exam

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

Reexam info:

The reexamination date/period can be found in the reexam schedule    here

Criteria for exam assessment

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

  • Category
  • Hours
  • Practical Training
  • 327
  • Exam
  • 50
  • English
  • 377

Kursusinformation

Language
English
Course number
ASDK20011U
ECTS
15 ECTS
Programme level
Full Degree Master
Duration

1 semester

Placement
Autumn And Spring
Studyboard
Social Data Science
Contracting department
  • Social Data Science
Contracting faculty
  • Faculty of Social Sciences
Course Coordinator
  • Kristoffer Langkjær Albris   (17-6e756c7677726969687531646f65756c76437672676476316e7831676e)
Saved on the 01-05-2025

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