Every winter semester
7 Credit points
For information on the duration of the modul, refer to the courses of study in which the module is used.
Non-official translation of the module descriptions. Only the German version is legally binding.
The aim of the "Statistical Internship" is to create a link between theory and practice. In this way, the internship can prepare students for their career entry and offers the opportunity to familiarise themselves with areas of activity in practice and gain practical experience. The theory-in-practice course focuses on the independent reconstruction of statistical case studies. The internship or theory-in-practice course serves to acquire skills and apply theoretical knowledge; productive work is not the main focus.
The "Statistical project" course aims to familiarise students with the entire spectrum of statistical analysis - from data organisation to evaluation - so that they can carry out statistical consulting or statistical analysis independently. The event character of the project promotes the students' general key competences.
In the course "Statistical Internship", students have the opportunity to complete a (research) internship of at least two weeks in the field of statistics in order to gain their first impressions of their future working area. Another focus of the course can be the reconstruction of statistical case studies and/or literature examples or similar as part of a theory-in-practice course.
The content of teaching in the course "Statistical Project" can be statistical consulting in particular. This offers students the opportunity to supervise and analyse specific consulting cases together with experienced researchers. Students should supervise and advise users and non-statisticians on empirical questions and, as far as time and expertise allow, carry out suitable statistical analyses independently. Other content is also conceivable. The focus of all courses is always on practical work with specific problems and data, i.e. the independent performance of a statistical analysis and the subsequent presentation of the results are part of all possible courses.
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Module structure: 1 SL, 1 bPr 1
The concept of the "Statistical Internship" varies and can be different in the individual semesters. In principle, the "Statistical Internship" is designed in such a way that a workload (incl. contact hours) of 60 working hours is created or a full-time internship of at least 2 weeks must be completed.
| Allocated examiner | Workload | LP2 |
|---|---|---|
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Teaching staff of the course
Statistisches Praktikum
(internship o. theory-in-practice course)
Students complete a study requirement in the form of an internship report (usually between 3 and 5 pages) or a written essay (usually between 10 and 15 pages) on the contents of the theory-in-practice course. |
see above |
see above
|
A final report or written elaboration (usually between 5 and 15 pages) on the project ending date must be prepared and a presentation (usually between 20 and 45 minutes) on the results of the project ending date must be given.
| Degree programme | Profile | Recommended start 3 | Duration | Mandatory option 4 |
|---|---|---|---|---|
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 1 | 3. | one semester | Obligation |
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 2 | 3. | one semester | Obligation |
| Statistical Science / Master of Science [FsB vom 15.10.2014 mit Änderungen vom 05.09.2016, 21.03.2023 und 10.12.2024 und Berichtigung vom 12.07.2017] | Option 1 | 3. | one semester | Obligation |
| Statistical Science / Master of Science [FsB vom 15.10.2014 mit Änderungen vom 05.09.2016, 21.03.2023 und 10.12.2024 und Berichtigung vom 12.07.2017] | Option 2 | 3. | one semester | Obligation |
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