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
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.
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.
When registered you will be signed up for exam.
- Full-degree students – sign up at Selfservice on KUnet
The dates for the exams are found here Exams – Faculty of Social Sciences - University of Copenhagen (ku.dk)
Please note that it is your own responsibility to check for overlapping exam dates.
- 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 (17-6f766d7778736a6a697632657066766d77447773686577326f7932686f)
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